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231 results for Artificial Intelligence Ai Engineer in Hybrid
- Austin, TX
- onsite
- Temporary / Contract
- 68.00 - 72.00 USD / Hourly
- <p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>DevOps Engineer</strong> <strong>(contract).</strong> In this role, you will focus on building scalable Kubernetes environments, improving CI/CD processes, strengthening cloud security, and enabling production-ready machine learning operations (MLOps). <strong>This role is hybrid in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, deploy, and maintain cloud infrastructure using Infrastructure-as-Code (IaC) frameworks and automation best practices.</li><li>Build, manage, and optimize Kubernetes environments, ensuring reliability, scalability, security, and operational efficiency.</li><li>Develop and maintain deployment pipelines supporting both application and machine learning workloads.</li><li>Collaborate with engineering and data teams to operationalize ML models and AI-driven services in production environments.</li><li>Implement and enhance CI/CD pipelines, release automation, and deployment standards across multiple environments.</li><li>Establish platform standards, reusable tooling, and engineering best practices to improve consistency and operational maturity.</li><li>Integrate security controls, automated testing, dependency validation, and policy enforcement into delivery pipelines.</li><li>Improve observability through centralized logging, monitoring, tracing, alerting, dashboards, and operational runbooks.</li><li>Partner with cross-functional teams to increase application reliability, performance, resiliency, and recovery capabilities.</li><li>Support modern software delivery practices, including automated quality controls, secure release management, and developer enablement initiatives.</li><li>Create self-service tooling, templates, automation frameworks, and documentation that improve the overall developer experience.</li><li>Participate in incident response, root cause analysis, and continuous improvement efforts.</li><li>Drive automation initiatives that reduce manual effort and increase operational reliability.</li><li>Work closely with infrastructure, security, engineering, and data teams to support enterprise-scale cloud platforms and services.</li></ul>
- 2026-11-11T22:53:48Z
- Minneapolis, MN
- onsite
- Permanent / Full Time
- 180000.00 - 250000.00 USD / Yearly
- <p>We’re seeking a Staff Software Engineer to lead technical strategy and execution across a product domain or platform area spanning multiple teams. In this role, you will own outcomes end-to-end by defining success metrics, shaping the roadmap, and driving measurable improvements over time.</p><p><br></p><p>You will set the architectural direction for scalable APIs, backend services, data platforms, and event-driven systems that operate across team boundaries. You’ll also lead the most complex work related to performance, scalability, and reliability.</p><p>As a senior technical leader, you will raise the engineering bar across the organization by establishing standards, creating reusable platforms and patterns, improving documentation practices, simplifying systems, and reducing technical debt.</p><p>You’ll be responsible for making and communicating high-impact technical decisions across architecture, security, performance, cost, and scalability. This includes identifying risks early and designing safeguards before they become incidents.</p><p>This role requires close partnership with Product, Design, Machine Learning, Client Success, and engineering leadership to shape strategy, turn ambiguous business goals into clear multi-quarter technical plans, and align teams on execution.</p><p>You will also help define how the organization adopts AI-assisted and agentic development practices by establishing guardrails for verification, security, and human accountability in production decisions, while measuring the real impact these tools create.</p><p>In addition, you will mentor senior engineers, influence technical direction across the organization, lead architecture reviews, and remain hands-on with the highest-impact technical work.</p><p><br></p>
- 2026-11-03T12:18:42Z
- Sun Prairie, WI
- remote
- Temporary / Contract
- 100.00 - 120.00 USD / Hourly
- We are looking for an experienced IT Data & Integration Delivery Consultant V to support advanced data engineering, analytics, and AI solution delivery for insurance-focused initiatives in Sun Prairie, Wisconsin. This Contract position is ideal for a hands-on specialist who can turn complex business needs into scalable data pipelines, production-ready machine learning assets, and secure generative AI applications. The role combines deep technical development with practical collaboration across engineering, analytics, and business teams to deliver reliable, high-quality solutions in a cloud-based environment.<br><br>Responsibilities:<br>• Create and maintain robust data pipelines and reusable data products using Python, SQL, Spark-based processing, and modern cloud data platforms.<br>• Examine complex insurance data to uncover trends, outliers, and actionable insights that support business and operational decision-making.<br>• Develop ingestion, transformation, and validation workflows that bring together structured and unstructured information from databases, APIs, files, and enterprise systems.<br>• Partner with cross-functional stakeholders to convert business challenges into analytics, machine learning, or generative AI solutions aligned with enterprise goals.<br>• Build, deploy, and monitor machine learning models, ensuring dependable performance, maintainability, and readiness for production use.<br>• Design enterprise generative AI capabilities such as retrieval-augmented experiences, document intelligence, summarization, classification, and conversational tools.<br>• Implement secure and governed AI integrations that connect enterprise data sources with large language model applications and reusable service components.<br>• Improve platform reliability, scalability, and cost efficiency through performance tuning, automation, observability, and engineering best practices.<br>• Uphold standards for documentation, data quality, security, compliance, metadata, and operational support throughout the solution lifecycle.
- 2026-11-12T17:18:45Z
- Jacksonville, FL
- remote
- Temporary / Contract
- - USD / Hourly
- <p>Are you passionate about building scalable cloud platforms that power next-generation AI solutions? We're looking for an <strong>AI Platform Engineer</strong> to help design, automate, and support a modern Azure-based platform used to deploy and manage AI applications, agents, and services across the enterprise.</p><p>This role is ideal for a DevOps or Cloud Engineer with strong Azure experience, Infrastructure-as-Code expertise, and a development background in C#/.NET or Python.</p><p>What You'll Do</p><ul><li>Build and maintain Azure cloud infrastructure supporting AI and application workloads</li><li>Develop reusable Infrastructure as Code (IaC) solutions using Terraform</li><li>Design and manage CI/CD pipelines with Azure DevOps and GitHub Actions</li><li>Automate platform provisioning, deployments, onboarding, and operational tasks</li><li>Develop automation and integration services using C#/.NET or Python</li><li>Support Azure API Management (APIM), containerized workloads, and cloud-native services</li><li>Implement security controls using Entra ID, Managed Identities, RBAC, and Key Vault</li><li>Monitor platform health and performance using Azure Monitor, Application Insights, and Log Analytics</li><li>Partner with development teams to move solutions from proof of concept to production</li><li>Create documentation, standards, and best practices for platform adoption</li></ul><p><br></p>
- 2026-11-11T12:24:08Z
- Minneapolis, MN
- onsite
- Permanent / Full Time
- 115000.00 - 144000.00 USD / Yearly
- We are looking for a Senior Data Engineer to strengthen our data foundation and help deliver reliable, scalable information solutions across Minneapolis, Minnesota. In this role, you will create and optimize modern data platforms that power analytics, reporting, and machine learning initiatives. You will collaborate with technical and business partners to turn complex source data into trusted, accessible assets that support better decisions across the organization.<br><br>Responsibilities:<br>• Build and maintain scalable data pipelines that ingest, transform, and deliver information from a variety of enterprise and operational data sources.<br>• Design data models and warehouse structures that improve reporting performance, support analytics use cases, and enable long-term scalability.<br>• Develop and orchestrate ETL and ELT workflows using cloud-based and workflow automation tools to ensure dependable data movement across systems.<br>• Create batch and near-real-time processing solutions that provide timely, accurate datasets for downstream applications and analytical teams.<br>• Write efficient, well-structured Python and SQL code to cleanse, transform, and validate large and complex datasets.<br>• Monitor pipeline health, investigate failures, and tune jobs for reliability, cost control, and overall platform performance.<br>• Establish data quality checks, testing routines, and governance practices to maintain consistency, integrity, and compliance across the data environment.<br>• Partner with architects, analysts, data scientists, AI/ML engineers, and DevOps teams to support production-ready data products, automated deployments, and reproducible machine learning workflows.
- 2026-11-04T22:08:42Z
- Burbank, CA
- onsite
- Temporary / Contract
- 80.00 - 90.00 USD / Hourly
- <p><strong>Location:</strong> Burbank, CA (Hybrid - 4 Days Onsite)</p><p><strong>Employment Type:</strong> Contract, potential FTE conversion</p><p><strong>Experience:</strong> 8+ Years</p><p><strong>Education:</strong> Bachelor's Degree Required</p><p><br></p><p>About the Opportunity</p><p>We are seeking a <strong>Staff Lead Software Engineer</strong> to help build the next generation of intelligent infrastructure supporting a modern Digital Supply Chain environment. This role is ideal for an experienced engineer who thrives at the intersection of backend engineering, distributed systems, workflow automation, and Generative AI.</p><p>You will play a critical role in designing and delivering agentic platforms that power complex business workflows including content mastering, localization, delivery, and media operations. Working closely with product, platform, and AI teams, you will transform emerging AI capabilities into scalable, production-ready solutions that create measurable business impact.</p><p>This is a hands-on leadership position where you will influence architecture, mentor engineers, and contribute directly to software development.</p><p><br></p><p>What You'll Do</p><p>Build Production-Grade AI Platforms</p><ul><li>Transform AI prototypes into scalable, enterprise-ready services.</li><li>Design and develop backend microservices using Java, Kotlin, Python, or TypeScript.</li><li>Deploy and manage services within Kubernetes environments using modern CI/CD practices.</li><li>Build resilient, event-driven architectures leveraging Kafka, SNS/SQS, EventBridge, or similar technologies.</li><li>Develop highly reliable APIs focused on performance, observability, and maintainability.</li></ul><p>Design Agentic Systems & AI Middleware</p><ul><li>Build middleware, API gateways, and service layers that securely expose enterprise applications and data to AI agents.</li><li>Create standardized interfaces enabling AI agents to interact with internal systems across the digital supply chain.</li><li>Implement Model Context Protocol (MCP) and related frameworks to manage secure access to tools, metadata, and content repositories.</li><li>Design intelligent orchestration layers that enable autonomous and semi-autonomous workflows.</li></ul><p>Lead AI Workflow Innovation</p><ul><li>Develop agentic workflows using technologies such as LangGraph, LangChain, and modern orchestration frameworks.</li><li>Implement routing, tool execution, context management, and decision-making capabilities for AI-powered solutions.</li><li>Establish governance controls, audit logging, approval workflows, and fallback mechanisms to support enterprise-grade AI implementations.</li><li>Integrate AI orchestration into business-critical workflows, including mastering, localization, and content delivery operations.</li></ul><p>Provide Technical Leadership</p><ul><li>Lead architecture discussions, technical planning sessions, and design reviews.</li><li>Partner with product managers, machine learning engineers, architects, and platform teams to deliver innovative solutions.</li><li>Mentor engineers and contribute to engineering excellence across the organization.</li><li>Evaluate and adopt emerging technologies in AI, distributed systems, cloud infrastructure, and software engineering.</li></ul>
- 2026-11-11T15:33:46Z
- Memphis, TN
- remote
- Temporary / Contract
- 70.00 - 85.00 USD / Hourly
- We are seeking a highly skilled Big Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics, reporting, machine learning, and business intelligence initiatives. The ideal candidate will have experience developing large-scale data pipelines, managing cloud-based data ecosystems, and implementing high-performance data solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain large-scale data processing systems and data pipelines. Build and optimize ETL/ELT workflows for structured, semi-structured, and unstructured data sources. Develop scalable solutions using distributed computing frameworks such as Apache Spark, Hadoop, and Kafka. Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support analytical and operational requirements. Integrate data from multiple internal and external systems while ensuring data quality and integrity. Design and implement cloud-native data solutions within AWS, Azure, or Google Cloud environments. Monitor, troubleshoot, and improve the performance, reliability, and scalability of data platforms. Implement data governance, security, compliance, and access control standards. Support real-time and batch data processing requirements. Document architectures, workflows, and technical specifications to ensure operational excellence.
- 2026-11-06T16:04:57Z
- Jacksonville, FL
- onsite
- Temporary / Contract
- - USD / Hourly
- We are looking for an AI DevOps Engineer to help build and scale secure, production-ready AI platform capabilities in Jacksonville, Florida. This Long-term Contract position focuses on enabling application teams with reliable Azure-based infrastructure, automation, and deployment practices for AI services and related workloads. The role will work across platform engineering, security, and development teams to create governed, observable, and maintainable solutions that support enterprise adoption of modern AI technologies.<br><br>Responsibilities:<br>• Create, deploy, and support Azure-based AI platform services, including search, model access, and related cloud resources, while enabling teams to run workloads within their own subscriptions and resource groups.<br>• Establish and manage Azure API Management as the controlled entry point for AI endpoints, applying standards for access control, rate limiting, logging, and consumption visibility.<br>• Develop hosting approaches for AI-powered applications and agent services using Azure Container Apps, Azure Functions, and other cloud-native Azure services.<br>• Build and maintain reusable Terraform modules to standardize infrastructure provisioning and improve consistency across environments.<br>• Streamline operational tasks through automation for activities such as environment onboarding, access setup, service configuration, and deployment workflows.<br>• Design, implement, and support CI/CD pipelines in GitHub Actions and Azure DevOps for infrastructure delivery, platform updates, and AI application releases.<br>• Write and maintain automation and integration code in C# or Python, along with scripting in PowerShell or Bash, to support platform tooling and service operations.<br>• Apply Azure security and governance controls, including identity integration, role-based access, secrets management, network restrictions, and approved model guardrails.<br>• Implement monitoring and telemetry using Azure Monitor, Application Insights, Log Analytics, and OpenTelemetry to improve reliability, troubleshooting, and cost transparency for AI workloads.<br>• Investigate and resolve infrastructure, deployment, and runtime issues while producing documentation, reference architectures, and runbooks that help other teams adopt the platform effectively.
- 2026-11-12T14:53:45Z
- Los Angeles, CA
- onsite
- Permanent / Full Time
- 200000.00 - 300000.00 USD / Yearly
- <p><strong>Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading organization is seeking a Software Engineer to help develop next-generation AI platforms. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul>
- 2026-10-30T18:34:06Z
- Gainesville, FL
- remote
- Temporary / Contract
- 51.46 - 59.59 USD / Hourly
- <p><strong>Position Summary</strong></p><p>We are seeking a Software Engineer to develop and support internal applications focused on AI, document processing, and workflow automation. This role will build Python-based solutions that integrate AI services, process PDFs, extract data through OCR, and provide user-friendly web interfaces.</p><p><br></p><p>Responsibilities</p><ul><li>Develop and maintain applications using Python.</li><li>Build and integrate REST APIs.</li><li>Develop solutions using the Anthropic Claude API.</li><li>Implement PDF text extraction and OCR capabilities.</li><li>Create lightweight internal web applications and user interfaces.</li><li>Configure and maintain application databases.</li><li>Deploy and support applications in Windows Server environments.</li><li>Manage source code through Git and follow development best practices.</li><li>Collaborate with stakeholders to understand business requirements and deliver technical solutions.</li></ul><p><br></p>
- 2026-11-13T14:23:43Z
- San Francisco, CA
- onsite
- Temporary / Contract
- 95.00 - 110.00 USD / Hourly
- We are looking for an Applied AI Training Engineer to join a Contract opportunity in San Francisco, California. This role focuses on shaping high-quality data and evaluation assets that strengthen how large language models learn specialized enterprise software concepts, workflows, and decision patterns. The ideal candidate will combine AI training expertise, strong technical judgment, and close collaboration with subject matter experts to improve model accuracy, consistency, and real-world usefulness across complex business scenarios.<br><br>Responsibilities:<br>• Develop structured training examples that help large language models learn enterprise software behaviors, terminology, and task flows with precision.<br>• Collaborate with subject matter experts to convert product knowledge, process logic, and business context into usable datasets for model training.<br>• Define data design approaches that expand domain coverage and support reliable model performance across a wide range of user scenarios.<br>• Build, organize, and enhance large-scale datasets, including generating synthetic examples when they add value to model learning.<br>• Review model responses, investigate failure patterns, and adjust training content to close knowledge gaps and improve output quality.<br>• Establish reusable frameworks, taxonomies, and teaching methods for introducing new concepts, schemas, and specialized domains to AI systems.<br>• Create benchmark datasets and evaluation methods to measure reasoning quality, factual accuracy, coverage, and generalization.<br>• Implement quality controls that detect inconsistency, ambiguity, imbalance, and missing information within training data collections.<br>• Write and maintain Python-based tools to create, transform, validate, and manage training data efficiently at scale.<br>• Refine model behavior to better align responses with customer expectations, domain expertise, and intended software functionality.
- 2026-10-30T22:48:43Z
- Jacksonville, FL
- onsite
- Temporary / Contract
- - USD / Hourly
- <p>We are seeking a <strong>Senior Data Engineer</strong> to join a growing data and analytics team responsible for building modern, cloud-based data platforms that drive business intelligence, reporting, and advanced analytics. This role is ideal for someone with deep expertise in <strong>Microsoft Azure</strong>, <strong>Microsoft Fabric</strong>, and modern data engineering practices.</p><p>You will be responsible for designing and developing scalable data solutions, optimizing data pipelines, and helping shape the organization's data architecture strategy. The ideal candidate is both hands-on and strategic, with experience building enterprise data platforms in Azure and Fabric environments.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain enterprise data solutions using <strong>Microsoft Fabric</strong> and <strong>Azure Data Services</strong>.</li><li>Build and optimize scalable ETL/ELT pipelines for structured and unstructured data sources.</li><li>Develop and manage data lakes, lakehouses, warehouses, and semantic models.</li><li>Design data integration solutions using Fabric Data Factory, Dataflows, and Azure Data Factory.</li><li>Implement data governance, security, quality, and monitoring frameworks.</li><li>Partner with business stakeholders to understand reporting and analytics requirements.</li><li>Support Power BI developers by building trusted, high-quality data models and datasets.</li><li>Optimize data storage, query performance, and platform scalability.</li><li>Develop data architecture standards, best practices, and documentation.</li><li>Collaborate with application development teams to integrate operational systems with enterprise analytics platforms.</li><li>Support real-time and batch data processing initiatives.</li><li>Participate in architecture reviews, code reviews, and technical leadership activities.</li></ul><p><br></p>
- 2026-11-05T12:43:45Z
- Pala Alto, CA
- remote
- Permanent / Full Time
- 180000.00 - 200000.00 USD / Yearly
- <p>We are looking for a commercially driven Strategic Account Executive to grow strategic relationships with leading semiconductor organizations in the United States. This role focuses on identifying where simulation and physics-based AI solutions can create measurable business value, while guiding opportunities from early discovery through successful deal closure. The ideal candidate brings strong consultative selling skills, a solid understanding of AI and design automation within the Semiconductor/ Electronics space, and the ability to work across technical and business stakeholders in complex enterprise environments.</p><p><br></p><p>Responsibilities:</p><p>• Develop and strengthen executive and working-level relationships across a focused group of top semiconductor accounts to uncover high-value opportunities for simulation AI solutions.</p><p>• Drive opportunities through the complete enterprise sales cycle, including needs assessment, solution positioning, commercial discussions, negotiation, and final contract execution.</p><p>• Expand account presence by identifying new business units, use cases, and follow-on opportunities that support long-term revenue growth within existing customers.</p><p>• Collaborate with technical and deployment teams to shape pilots, evaluations, and proof-of-value engagements that align customer objectives with platform capabilities.</p><p>• Maintain a disciplined sales pipeline with clear forecasting, accurate opportunity tracking, and regular updates on account progress and growth potential.</p><p>• Translate customer pain points, market shifts, and competitive activity into practical feedback that informs product direction and go-to-market strategy.</p><p>• Present business cases and value narratives to senior decision-makers, helping customers understand the impact of applied AI in simulation-focused environments.</p><p>• Coordinate internal resources effectively to support complex pursuits and ensure momentum across multiple stakeholders throughout the sales process.</p>
- 2026-11-10T16:48:44Z
- Knoxville, TN
- remote
- Permanent / Full Time
- - USD / Yearly
- <p>Robert Half is hiring! We are looking for a Principal Software Engineer to lead the design and delivery of modern AI-driven software solutions. This role combines hands-on engineering with technical leadership across backend services, frontend applications, and intelligent workflow development. The ideal candidate brings deep full-stack expertise, a strong product mindset, and the ability to guide scalable systems from concept through production.</p><p><br></p><p>Responsibilities:</p><p>• Lead complete product delivery efforts, from technical planning and architecture through implementation, testing, and long-term support.</p><p>• Create and refine agentic AI workflows that support business goals and integrate effectively with broader application ecosystems.</p><p>• Build, enhance, and support scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks including Express or NestJS.</p><p>• Develop robust RESTful and GraphQL interfaces that enable reliable communication between platforms, services, and user-facing applications.</p><p>• Implement and improve React-based frontend features with a focus on usability, responsiveness, and smooth integration with backend systems.</p><p>• Architect and maintain microservices and distributed application components to support performance, resilience, and future growth.</p><p>• Improve system efficiency by tuning application behavior, streamlining database interactions, and optimizing cloud infrastructure usage.</p><p>• Apply strong security standards by implementing access controls, authentication mechanisms, and authorization practices across the platform.</p><p>• Oversee automated delivery processes and container-based deployments using CI/CD pipelines, Docker, and related engineering tools.</p><p>• Partner with product, design, and DevOps teams to resolve production issues, maintain cloud-based services, and deliver high-quality software outcomes.</p>
- 2026-11-02T14:38:42Z
- Los Angeles, CA
- onsite
- Permanent / Full Time
- 200000.00 - 300000.00 USD / Yearly
- <p><strong>Python Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Python Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>
- 2026-11-09T22:43:44Z
- Brookfield, WI
- onsite
- Permanent / Full Time
- 205000.00 - 240000.00 USD / Yearly
- Transform the Future of AI, Analytics & Intelligent Automation <br> We are seeking a highly innovative Director of Data Science & Analytics to lead the next evolution of an enterprise's analytics and AI capabilities. This leadership opportunity will oversee Business Intelligence, Data Science, and emerging AI-focused engineering functions while helping shape the company's long-term data and AI strategy. This role is ideal for somebody who thrives at the intersection of business strategy, technology, and talent development. You'll have the opportunity to build and scale high-performing teams, influence executive decision-making, and drive meaningful business outcomes through advanced analytics, machine learning, and AI-enabled solutions. <br> Responsibilities: • Define and advance the enterprise vision for analytics and AI in partnership with senior leadership, balancing immediate business needs with long-range capability building. • Help experienced the organization's approach to AI adoption, intelligent workflows, and advanced decision support capabilities. • Direct and develop managers and technical teams across business intelligence, data science, and applied engineering functions embedded within cross-functional operating groups. • Expand the use of machine learning, forecasting, optimization, and advanced analytical methods to solve business problems and generate measurable value. • Elevate reporting and analytics practices by improving semantic layers, strengthening data trust, and enabling effective self-service access for business users. • Build and scale a team focused on delivering end-to-end AI applications, including generative AI and agent-based solutions. • Partner with leaders across commercial, operations, product, and corporate areas to prioritize initiatives, align resources, and guide investment decisions. • Establish governance for model development, MLOps, validation practices, reusable code assets, and quality standards across analytics delivery. • Help shape platform direction and solution delivery across environments such as Azure and Databricks while supporting scalable analytics architecture. • Lead organizational planning efforts including hiring strategy, succession planning, team design, and capability development as the function grows. • Foster a high-accountability culture that encourages experimentation, rapid learning, continuous improvement, and strong ownership of outcomes.
- 2026-11-05T23:23:40Z
- Cleveland, OH
- onsite
- Permanent / Full Time
- 75000.00 - 90000.00 USD / Yearly
- One of Robert Half's clients is looking for a curious, resourceful Data Platform Engineer to help us strengthen the foundation behind our data. This is a hands-on, growth-oriented role for someone who enjoys investigating how systems work, solving practical problems, and learning new technologies. You will help build and maintain data pipelines, improve the reliability and accessibility of our data, and contribute to an assessment of our current data architecture. <br><br>You will have the opportunity to work across several areas of data engineering rather than being limited to one narrow specialty. This may include data integration, pipeline development, data modeling, quality monitoring, documentation, reporting support, and architecture discovery. We are more interested in how you approach problems than whether you have already used every technology in our environment. The right person is dependable, asks thoughtful questions, follows work through to completion, and knows how to use modern AI development tools responsibly and effectively. <br><br>Essential Functions <br><br>Build, maintain, and improve pipelines that move data between operational systems, databases, warehouses, and reporting tools. <br><br>Help document our existing data environment, including data sources, integrations, transformations, storage, reporting dependencies, and access controls. <br><br>Support an audit of the current data architecture by investigating how systems connect and identifying potential reliability, scalability, data-quality, security, or maintainability concerns. <br><br>Work with more experienced team members and business stakeholders to evaluate and prioritize improvements. <br><br>Develop and maintain reusable data models for reporting, analytics, and operational use. <br><br>Add testing, monitoring, alerting, logging, and documentation to important data workflows. <br><br>Investigate failed jobs, inconsistent metrics, and other data issues through structured root-cause analysis. <br><br>Write readable, maintainable code using source control, code review, automated testing, and repeatable deployment practices. <br><br>Translate business needs into practical technical solutions with guidance from internal stakeholders. <br><br>Use AI-assisted development tools to accelerate research, coding, testing, documentation, and troubleshooting. <br><br>Review and validate AI-generated work rather than accepting it without verification. <br><br>Learn unfamiliar systems and technologies as needed and share what you discover with the team. <br> <br>Knowledge, Skills & Abilities <br><br>Strong foundational SQL skills and experience working with relational data. <br><br>Working knowledge of Python, R, or another language used for data processing and automation. <br><br>Some experience building, modifying, or supporting ETL/ELT pipelines. <br><br>Familiarity with databases, data warehouses, APIs, scheduled jobs, or cloud-based data services. <br><br>Basic experience with Git and modern software-development practices. <br><br>An ability to investigate unfamiliar problems, test assumptions, and communicate findings clearly. <br><br>A dependable approach to execution, documentation, and follow-through. <br><br>Genuine curiosity and a willingness to learn technologies outside your current experience. <br><br>Practical experience using AI coding assistants or language models as part of a development workflow. <br><br>Good judgment about validating AI-generated code and protecting confidential or sensitive company information.
- 2026-10-30T14:58:43Z
- St. Paul, MN
- onsite
- Temporary to Hire
- 57.00 - 66.00 USD / Hourly
- <p>We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases.</p><p><br></p><p>Responsibilities:</p><p>• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.</p><p>• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.</p><p>• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.</p><p>• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.</p><p>• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.</p><p>• Improve platform performance through tuning, cost management, and scalability planning across data workloads.</p><p>• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.</p><p>• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.</p><p>• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.</p>
- 2026-11-05T11:33:41Z
- Cambridge, MA
- onsite
- Permanent / Full Time
- 130000.00 - 160000.00 USD / Yearly
- We are looking for a Computer Vision Engineer to join a growing team building AI-driven solutions for manufacturing environments in Cambridge, Massachusetts. In this role, you will create and deploy vision models that interpret live camera feeds to support defect detection and workflow monitoring across industrial settings. This position is ideal for an engineer who enjoys turning machine learning concepts into reliable production systems and collaborating closely with technical teams to deliver measurable operational value.<br><br>Responsibilities:<br>• Design, train, and refine computer vision models for manufacturing use cases such as defect identification, anomaly detection, and step-by-step task tracking.<br>• Build production-ready Python-based machine learning pipelines using frameworks such as PyTorch or TensorFlow.<br>• Work with image and video data captured from facility cameras to develop accurate and scalable real-time analysis solutions.<br>• Deploy and support vision applications in cloud and edge environments, including AWS services such as S3 and EC2.<br>• Collaborate with engineering leadership and cross-functional teammates to translate customer needs into practical model and system designs.<br>• Create solutions from the ground up using supervised and unsupervised learning techniques where appropriate.<br>• Improve system performance through testing, evaluation, and iterative tuning of algorithms in live operational settings.<br>• Participate in periodic onsite visits to customer facilities to understand workflows, validate model behavior, and support implementation.
- 2026-10-26T17:44:08Z
- New York, NY
- remote
- Temporary to Hire
- 76.00 - 88.00 USD / Hourly
- We are looking for a Software Engineer to join a contract opportunity with the potential to become permanent, based in New York, New York. This position will play a key role in shaping technical architecture across integrations, platform security, data flow, and release readiness within a Workday-focused environment. The ideal candidate brings strong engineering judgment, hands-on integration expertise, and the ability to guide technical standards while partnering with stakeholders across the organization.<br><br>Responsibilities:<br>• Direct the overall strategy for the integration ecosystem, including monitoring system health, maintaining technical inventories, and planning future enhancements across connectors, Studio solutions, and downstream consumers.<br>• Create and evaluate integration designs while establishing best practices for development, exception management, operational logging, and technical documentation.<br>• Partner with security stakeholders to define and maintain a robust tenant security framework covering access controls, business process security, and integration-related permissions.<br>• Assess the technical implications of platform updates and version changes, leading regression planning and validation efforts to reduce production risk.<br>• Investigate complex production issues affecting integrations, identify underlying causes, and implement durable corrective actions.<br>• Design and support advanced platform solutions such as Extend, Prism, or reporting capabilities when required by business needs.<br>• Promote modern engineering practices by introducing AI-supported development approaches, automated testing, and continuously updated technical knowledge assets.<br>• Provide technical leadership to engineers through coaching, design oversight, and participation in the interview process for new team members.
- 2026-10-16T17:03:59Z
- Orlando, FL
- onsite
- Temporary / Contract
- 80.00 - 85.00 USD / Hourly
- <p>We are looking for a Software Engineer to join the client’s engineering team within Workforce Technology. This role will play a key role in designing, building, and supporting the enterprise integrations and services that power the client’s AI-enabled employee experience platform.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design, develop, and maintain integrations between Moveworks, ServiceNow, Workday, SAP, Azure Entra ID, and other enterprise platforms.</p><p>· Build and support REST API, webhook, and OAuth 2.0 integrations for enterprise applications.</p><p>· Design and implement identity mapping, Single Sign-On (SSO), and access control solutions across integrated platforms.</p><p>· Develop and maintain ServiceNow capabilities, including Scripted REST APIs, Glide APIs, ACLs, Knowledge Management configurations, and workflow integrations.</p><p>· Build and support user provisioning, group synchronization, and access governance processes.</p><p>· Create and maintain Workday integrations and queries supporting HR automation processes such as employee onboarding, status changes, and separations.</p><p>· Enforce permission-aware content retrieval using ServiceNow as the system of record for authorization decisions.</p><p>· Monitor, troubleshoot, and resolve production issues using logs, API traces, monitoring platforms, and vendor tools.</p><p>· Execute deployments, environment configurations, reindexing activities, and post-release validation across Development, UAT, and Production environments.</p><p>· Measure search retrieval performance and answer quality while partnering with content owners to improve search effectiveness.</p><p>· Create technical design documents, implementation plans, test strategies, and engineering status updates.</p><p>· Participate in code reviews and mentor engineers and contract resources.</p><p>· Collaborate with external vendors, system integrators, and business stakeholders to deliver scalable enterprise solutions.</p>
- 2026-11-06T19:38:44Z
- Atlanta, GA
- remote
- Temporary / Contract
- - USD / Hourly
- <p><strong>Location:</strong> Atlanta, GA (Hybrid – standard remote/in-office split in Atlanta)</p><p><strong>Duration:</strong> Ongoing Contract</p><p><strong>Employment Type:</strong> Full-Time Contract</p><p><br></p><p>About the Role</p><p>We are seeking an innovative, system-minded <strong>AI GTM Engineer</strong> to join our team on an ongoing contract basis. In this role, you will sit at the intersection of Revenue Operations, Sales, Marketing, and AI Technology. You will architect, automate, and scale intelligent systems that turn market signals into high-converting revenue motions.</p><p>If you excel at building agentic workflows, leveraging data enrichment tools, and integrating custom AI logic directly into GTM tech stacks, this role offers an opportunity to directly shape our revenue infrastructure.</p><p>Key Responsibilities</p><ul><li><strong>AI & Agentic Workflow Architecture:</strong> Design, build, and deploy autonomous AI agents, LLM prompts, and intelligent workflows to automate inbound lead processing, outbound plays, and account personalization.</li><li><strong>Signal & Data Orchestration:</strong> Build data waterfalls and signal-based triggers (intent data, hiring spikes, executive shifts) using modern tools (e.g., Clay, Apollo, Clearbit, OpenAI/Anthropic APIs) to surface high-value opportunities to revenue teams.</li><li><strong>Tech Stack Integration:</strong> Wire AI capabilities directly into our CRM (Salesforce/HubSpot) and outreach tools, bridging gaps between disconnected sales/marketing applications via custom APIs and automation tools.</li><li><strong>Experimentation & Playbook Design:</strong> Rapidly test, iterate, and optimize automated outreach, messaging variations, and routing rules based on performance metrics (reply rates, pipeline velocity, conversion lift).</li><li><strong>Team Enablement & Technical Governance:</strong> Serve as a bridge between RevOps and frontline reps. Train sales and marketing teams on AI tool adoption, ensure data hygiene, and maintain operational stability.</li></ul>
- 2026-11-02T14:54:06Z
- Radnor, PA
- onsite
- Permanent / Full Time
- 140000.00 - 160000.00 USD / Yearly
- We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives.<br><br>Responsibilities:<br>• Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases.<br>• Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable.<br>• Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption.<br>• Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite.<br>• Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate.<br>• Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes.<br>• Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability.<br>• Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers.<br>• Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions.<br>• Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
- 2026-11-03T19:04:01Z
- Worcester, MA
- onsite
- Permanent / Full Time
- 160000.00 - 170000.00 USD / Yearly
- <p>We are looking for a strategic data leader to shape and advance the enterprise approach to analytics, governance, and modern data platforms in Worcester, Massachusetts. This position will guide the development of scalable capabilities that support reporting, advanced analysis, and informed decision-making across the institution. The Director will work closely with senior leaders and campus partners to strengthen data operations, expand analytical maturity, and lead teams responsible for engineering and business intelligence.</p><p><br></p><p>Responsibilities:</p><p>• Create and lead a long-term data and analytics roadmap that supports institutional priorities and measurable business outcomes.</p><p>• Direct enterprise functions across data architecture, engineering, reporting, and analytics to deliver reliable and effective information services.</p><p>• Implement standards for data governance, quality, security, and master data practices to improve trust and consistency across systems.</p><p>• Oversee the design and growth of cloud-based data environments, including warehouses, lakes, and integration frameworks that scale with organizational needs.</p><p>• Collaborate with executive and operational stakeholders to deliver dashboards, performance reporting, and self-service tools that enable better decisions.</p><p>• Advance modernization efforts by identifying and applying opportunities in AI, machine learning, and other sophisticated analytics capabilities.</p><p>• Manage platform performance, vendor partnerships, budgeting, and resource allocation to ensure sustainable operations and delivery.</p><p>• Recruit, coach, and develop data engineering, analytics, and BI professionals while fostering a collaborative and high-performing team culture.</p><p>• Champion data literacy across the organization by encouraging evidence-based practices and broader adoption of analytical tools and insights.</p>
- 2026-10-14T17:04:16Z
- Los Angeles, CA
- onsite
- Permanent / Full Time
- 130000.00 - 150000.00 USD / Yearly
- <p><strong>Systems Engineer</strong></p><p><br></p><p><strong>Overview</strong></p><p>An organization is seeking a Systems Engineer to support enterprise cloud technologies, business applications, automation initiatives, and IT infrastructure operations. This individual will help improve system reliability, streamline operational processes, and support ongoing technology modernization efforts across the organization.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Administer and support enterprise cloud and collaboration platforms</li><li>Develop and maintain automation solutions to improve operational efficiency</li><li>Support identity and access management initiatives</li><li>Manage endpoint technologies and related platform services</li><li>Assist with system integrations and application support efforts</li><li>Monitor platform performance, availability, and operational health</li><li>Troubleshoot infrastructure, cloud, and application-related issues</li><li>Create and maintain technical documentation and operational procedures</li><li>Collaborate with technical teams and business stakeholders on technology initiatives</li><li>Identify opportunities for process improvement, automation, and operational excellence</li></ul>
- 2026-10-16T17:13:45Z