242 Results for Artificial Intelligence Ai Engineer Jobs in Remoter

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Staff Software Engineer, Applied AI Systems

Minneapolis, MN
onsite
Permanent / Full Time
180000.00 - 250000.00 USD / Yearly
We’re hiring a hands-on Staff Software Engineer to lead development in a critical area of AI-enabled product infrastructure. In this role, you will build and evolve the systems that determine what AI-powered experiences can access, use, and reference in real time. This work is central to ensuring outputs are accurate, timely, secure, and grounded in the right information. You will focus on designing and improving retrieval and context systems that support intelligent applications operating in complex, high-trust environments. That includes helping systems identify the right content, manage changing information, and enforce strict access boundaries. You’ll work primarily in Python and collaborate closely with cross-functional partners in product, data, and engineering.This is a highly hands-on role for someone who wants to directly influence the architecture, quality, and safety of AI-driven capabilities. What You’ll Do<ul><li>Lead the design and improvement of retrieval systems that support AI-powered workflows in production environments</li><li>Ensure application outputs are grounded in the right source material, with the appropriate balance of quality, performance, and cost</li><li>Build systems that can process and reason over large volumes of unstructured and structured content</li><li>Develop search and context tools that surface trustworthy source excerpts, references, and relevant content locations</li><li>Maintain alignment between what AI systems can access and what end users are authorized to view</li><li>Help define when AI-generated outputs can be delivered directly and when additional validation or product controls are required</li><li>Influence technical direction across teams and mentor engineers working in adjacent problem spaces</li></ul>
2026-11-03T12:24:01Z

Talent Sourcer

San Mateo, CA
remote
Temporary / Contract
40.00 - 55.00 USD / Hourly
Talent Sourcer | Help Build the Future of Enterprise AI San Mateo, CA | Hybrid/Onsite | Contract or Contract-to-permanent Join an AI Company Transforming What's Possible! Robert Half is partnering with a rapidly growing AI technology company that is helping organizations build, train, and deploy next-generation artificial intelligence solutions. Backed by industry-leading investors and founded by pioneers in AI infrastructure, our client is shaping the future of enterprise AI through cutting-edge technology, innovation, and world-class talent. As the company continues to scale, they are seeking a strategic and driven Talent Sourcer to play a key role in identifying and engaging exceptional talent across both technical and go-to-market functions. This is an opportunity to join a high-growth environment where your ability to build pipelines, uncover hard-to-find talent, and influence hiring outcomes will have a direct impact on the organization's success. Position Description: The Talent Sourcer will serve as a critical partner to the Talent Acquisition team, helping build and maintain strong candidate pipelines for priority hiring initiatives. This individual will proactively identify, engage, and attract top talent while leveraging market intelligence and sourcing best practices to support hiring across engineering, AI, infrastructure, and business functions. Responsibilities: Proactively source and engage passive candidates through LinkedIn Recruiter, GitHub, technical communities, open-source networks, and other creative sourcing channels. Build and maintain robust talent pipelines across technical and go-to-market roles. Partner closely with recruiters, hiring managers, and business leaders to understand hiring needs and develop targeted sourcing strategies. Create compelling, personalized outreach campaigns that effectively communicate the company's mission, culture, and career opportunities. Conduct initial candidate conversations to assess qualifications, experience, and overall alignment with hiring requirements. Research competitor organizations, emerging talent pools, and industry trends to inform sourcing strategies and hiring decisions. Support diversity hiring initiatives by building inclusive candidate pipelines and implementing equitable sourcing practices. Maintain accurate candidate records and sourcing activity within the Applicant Tracking System (ATS). Monitor sourcing metrics, pipeline health, and conversion data to identify opportunities for process improvement. Continuously explore new sourcing tools, technologies, and engagement strategies to improve recruiting outcomes.
2026-10-27T17:08:45Z

Data Engineer

Memphis, TN
remote
Permanent / Full Time
120000.00 - 130000.00 USD / Yearly
Data Pipeline Development & Integration<ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul>Data Warehousing & Architecture<ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul>Data Quality & Governance<ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul>Cloud Engineering & Automation<ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul>Analytics & AI Support<ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul>
2026-11-03T15:38:40Z

Data Engineer

Little Rock, AR
remote
Temporary / Contract
100000.00 - 120000.00 USD / Yearly
Data Pipeline Development & Integration<ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul>Data Warehousing & Architecture<ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul>Data Quality & Governance<ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul>Cloud Engineering & Automation<ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul>Analytics & AI Support<ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul>
2026-11-03T15:28:46Z

Sr. Software Engineer

Los Angeles, CA
onsite
Permanent / Full Time
180000.00 - 240000.00 USD / Yearly
Senior Software Engineer Company OverviewA leading firm based in Los Angeles, California is seeking a Senior Software Engineer to join its technology organization. The firm manages a significant portfolio of institutional assets across credit, private investments, and other alternative strategies. Technology and AI are central to its ongoing innovation strategy, with continued investment in intelligent applications, automation, and data-driven solutions. Role SummaryThe Senior Software Engineer will be a hands-on full-stack developer responsible for building and supporting internal applications, AI-enabled solutions, enterprise integrations, and the Salesforce platform. This role will work closely with investment, operations, compliance, investor relations, accounting, and data teams to turn complex business processes into scalable technology solutions. Key Responsibilities<ul><li>Design and develop applications that automate workflows across investment management, compliance, operations, accounting, and investor relations.</li><li>Build full-stack solutions using C#, .NET, SQL, Python, JavaScript/TypeScript, APIs, and modern development frameworks.</li><li>Develop and support AI-enabled applications, agent workflows, document processing, and intelligent automation solutions.</li><li>Configure and enhance Salesforce, including objects, fields, flows, validation rules, security, integrations, and light custom development.</li><li>Build integrations between Salesforce, internal applications, data platforms, and third-party systems using APIs, ETL, messaging, and automation.</li><li>Develop data and document processing workflows that extract, validate, transform, and load information into enterprise systems.</li><li>Partner directly with investment and business teams to translate domain expertise into repeatable, automated workflows.</li><li>Support reporting and analytics initiatives while maintaining data quality and consistency across connected systems.</li><li>Troubleshoot production applications and integrations, perform root-cause analysis, and implement long-term solutions.</li><li>Apply AI-assisted engineering practices to accelerate development, testing, documentation, and process automation.</li></ul>Additional Details<ul><li>Work model: Hybrid, three days onsite per week</li><li>Quarterly travel may be required</li><li>Opportunity to join an organization with an established investment in AI and help build the next generation of internal AI capabilities</li><li>Direct collaboration with senior technology leadership and investment professionals</li></ul>
2026-10-30T18:28:47Z

Data Engineer

Oskaloosa, IA
onsite
Permanent / Full Time
- USD / Yearly
Position: Data Engineer Location: Oskaloosa, IA / Des Moines, IA -- Onsite Salary: $100,000 - $120,000 base + exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Engineer Shape the Future of Enterprise Analytics, AI & Data Innovation Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution? A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges. This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes. What You'll Do • Design and develop scalable data models, semantic layers, and enterprise data solutions • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives • Develop and optimize cloud-based data pipelines and integrations • Improve data governance, lineage, metadata management, and observability practices • Create automated data quality and validation frameworks • Implement CI/CD processes and modern DataOps best practices • Optimize SQL performance across warehouses, lakehouses, and reporting environments • Partner with analysts and business stakeholders to transform complex problems into actionable solutions • Contribute to technical standards, mentoring, documentation, and architectural best practices What We're Looking For Core Qualifications • Strong experience with data modeling and semantic modeling • Hands-on experience with Microsoft Fabric, Azure, and Power BI • Advanced SQL development and performance optimization skills • Experience with Git, CI/CD, and modern data engineering practices • Ability to translate business requirements into scalable technical solutions • Experience developing enterprise data pipelines and analytics platforms • A plus if you have data governance, data warehouse, data lake and or DBT experience. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-13T13:58:43Z

GTM Recruiter

San Mateo, CA
remote
Temporary / Contract
45.00 - 50.00 USD / Hourly
GTM Recruiter (Contract-to-permanent) About the Opportunity Our recruiting team is partnering with a rapidly growing AI company at the forefront of building innovative artificial intelligence solutions for enterprise customers. As the company continues to scale, they are seeking a motivated GTM Recruiter to support hiring across key revenue-generating functions and help build a world-class team. Position Description Lead full-cycle recruiting for Go-to-Market (GTM) roles, including Sales, Marketing, Partnerships, Solutions Engineering, and Customer Success Partner closely with hiring managers and business leaders to understand hiring needs and develop recruiting strategies Source, engage, and attract top talent through networking, referrals, direct outreach, and recruiting tools Build and maintain strong candidate pipelines to support both current and future hiring initiatives Utilize AI-driven sourcing and recruiting technologies to improve efficiency and candidate engagement Manage multiple requisitions while delivering a positive candidate experience throughout the hiring process Track recruiting activity, pipeline metrics, and hiring progress to ensure timely results Collaborate with HR and cross-functional stakeholders to support workforce planning and hiring goals Contribute to scalable recruiting processes and best practices as the organization continues to grow
2026-10-26T23:13:45Z

Data Engineer

Memphis, TN
onsite
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.
2026-11-10T15:43:46Z

AI Platform Engineer

Jacksonville, FL
remote
Temporary / Contract
- USD / Hourly
Are you passionate about building scalable cloud platforms that power next-generation AI solutions? We're looking for an AI Platform Engineer to help design, automate, and support a modern Azure-based platform used to deploy and manage AI applications, agents, and services across the enterprise.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.What You'll Do<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>
2026-11-11T12:24:08Z

Data Engineer

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

Agent Platform Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000.00 - 300000.00 USD / Yearly
Software Engineer Company OverviewA 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. Role SummaryThe 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. Key Responsibilities<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

Applied AI Training Engineer

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. Responsibilities: • Develop structured training examples that help large language models learn enterprise software behaviors, terminology, and task flows with precision. • Collaborate with subject matter experts to convert product knowledge, process logic, and business context into usable datasets for model training. • Define data design approaches that expand domain coverage and support reliable model performance across a wide range of user scenarios. • Build, organize, and enhance large-scale datasets, including generating synthetic examples when they add value to model learning. • Review model responses, investigate failure patterns, and adjust training content to close knowledge gaps and improve output quality. • Establish reusable frameworks, taxonomies, and teaching methods for introducing new concepts, schemas, and specialized domains to AI systems. • Create benchmark datasets and evaluation methods to measure reasoning quality, factual accuracy, coverage, and generalization. • Implement quality controls that detect inconsistency, ambiguity, imbalance, and missing information within training data collections. • Write and maintain Python-based tools to create, transform, validate, and manage training data efficiently at scale. • Refine model behavior to better align responses with customer expectations, domain expertise, and intended software functionality.
2026-10-30T22:48:43Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
- USD / Hourly
We are seeking a Senior Data Engineer 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 Microsoft Azure, Microsoft Fabric, and modern data engineering practices.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.Responsibilities<ul><li>Design, develop, and maintain enterprise data solutions using Microsoft Fabric and Azure Data Services.</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>
2026-11-05T12:43:45Z

Simulation AI Business Development

Pala Alto, CA
remote
Permanent / Full Time
180000.00 - 200000.00 USD / Yearly
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. Responsibilities:• 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.• Drive opportunities through the complete enterprise sales cycle, including needs assessment, solution positioning, commercial discussions, negotiation, and final contract execution.• Expand account presence by identifying new business units, use cases, and follow-on opportunities that support long-term revenue growth within existing customers.• Collaborate with technical and deployment teams to shape pilots, evaluations, and proof-of-value engagements that align customer objectives with platform capabilities.• Maintain a disciplined sales pipeline with clear forecasting, accurate opportunity tracking, and regular updates on account progress and growth potential.• Translate customer pain points, market shifts, and competitive activity into practical feedback that informs product direction and go-to-market strategy.• Present business cases and value narratives to senior decision-makers, helping customers understand the impact of applied AI in simulation-focused environments.• Coordinate internal resources effectively to support complex pursuits and ensure momentum across multiple stakeholders throughout the sales process.
2026-11-10T16:48:44Z

Principal Software Engineer

Knoxville, TN
remote
Permanent / Full Time
- USD / Yearly
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. Responsibilities:• Lead complete product delivery efforts, from technical planning and architecture through implementation, testing, and long-term support.• Create and refine agentic AI workflows that support business goals and integrate effectively with broader application ecosystems.• 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.• Develop robust RESTful and GraphQL interfaces that enable reliable communication between platforms, services, and user-facing applications.• Implement and improve React-based frontend features with a focus on usability, responsiveness, and smooth integration with backend systems.• Architect and maintain microservices and distributed application components to support performance, resilience, and future growth.• Improve system efficiency by tuning application behavior, streamlining database interactions, and optimizing cloud infrastructure usage.• Apply strong security standards by implementing access controls, authentication mechanisms, and authorization practices across the platform.• Oversee automated delivery processes and container-based deployments using CI/CD pipelines, Docker, and related engineering tools.• Partner with product, design, and DevOps teams to resolve production issues, maintain cloud-based services, and deliver high-quality software outcomes.
2026-11-02T14:38:42Z

Python Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000.00 - 300000.00 USD / Yearly
Python Engineer Company OverviewBased 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. Role SummaryThe 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. Key Responsibilities<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

Director of Data Science & Analytics

Brookfield, WI
onsite
Permanent / Full Time
205000.00 - 240000.00 USD / Yearly
Transform the Future of AI, Analytics & Intelligent Automation 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. 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

Data Platform Engineer

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. 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. Essential Functions Build, maintain, and improve pipelines that move data between operational systems, databases, warehouses, and reporting tools. Help document our existing data environment, including data sources, integrations, transformations, storage, reporting dependencies, and access controls. Support an audit of the current data architecture by investigating how systems connect and identifying potential reliability, scalability, data-quality, security, or maintainability concerns. Work with more experienced team members and business stakeholders to evaluate and prioritize improvements. Develop and maintain reusable data models for reporting, analytics, and operational use. Add testing, monitoring, alerting, logging, and documentation to important data workflows. Investigate failed jobs, inconsistent metrics, and other data issues through structured root-cause analysis. Write readable, maintainable code using source control, code review, automated testing, and repeatable deployment practices. Translate business needs into practical technical solutions with guidance from internal stakeholders. Use AI-assisted development tools to accelerate research, coding, testing, documentation, and troubleshooting. Review and validate AI-generated work rather than accepting it without verification. Learn unfamiliar systems and technologies as needed and share what you discover with the team. Knowledge, Skills & Abilities Strong foundational SQL skills and experience working with relational data. Working knowledge of Python, R, or another language used for data processing and automation. Some experience building, modifying, or supporting ETL/ELT pipelines. Familiarity with databases, data warehouses, APIs, scheduled jobs, or cloud-based data services. Basic experience with Git and modern software-development practices. An ability to investigate unfamiliar problems, test assumptions, and communicate findings clearly. A dependable approach to execution, documentation, and follow-through. Genuine curiosity and a willingness to learn technologies outside your current experience. Practical experience using AI coding assistants or language models as part of a development workflow. Good judgment about validating AI-generated code and protecting confidential or sensitive company information.
2026-10-30T14:58:43Z

Data Engineer

St. Paul, MN
onsite
Temporary to Hire
57.00 - 66.00 USD / Hourly
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. Responsibilities:• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.• Improve platform performance through tuning, cost management, and scalability planning across data workloads.• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.
2026-11-05T11:33:41Z

Computer Vision Engineer

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. Responsibilities: • Design, train, and refine computer vision models for manufacturing use cases such as defect identification, anomaly detection, and step-by-step task tracking. • Build production-ready Python-based machine learning pipelines using frameworks such as PyTorch or TensorFlow. • Work with image and video data captured from facility cameras to develop accurate and scalable real-time analysis solutions. • Deploy and support vision applications in cloud and edge environments, including AWS services such as S3 and EC2. • Collaborate with engineering leadership and cross-functional teammates to translate customer needs into practical model and system designs. • Create solutions from the ground up using supervised and unsupervised learning techniques where appropriate. • Improve system performance through testing, evaluation, and iterative tuning of algorithms in live operational settings. • Participate in periodic onsite visits to customer facilities to understand workflows, validate model behavior, and support implementation.
2026-10-26T17:44:08Z

Software Engineer

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. Responsibilities: • 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. • Create and evaluate integration designs while establishing best practices for development, exception management, operational logging, and technical documentation. • Partner with security stakeholders to define and maintain a robust tenant security framework covering access controls, business process security, and integration-related permissions. • Assess the technical implications of platform updates and version changes, leading regression planning and validation efforts to reduce production risk. • Investigate complex production issues affecting integrations, identify underlying causes, and implement durable corrective actions. • Design and support advanced platform solutions such as Extend, Prism, or reporting capabilities when required by business needs. • Promote modern engineering practices by introducing AI-supported development approaches, automated testing, and continuously updated technical knowledge assets. • Provide technical leadership to engineers through coaching, design oversight, and participation in the interview process for new team members.
2026-10-16T17:03:59Z

Data Scientist

Atlanta, GA
remote
Temporary / Contract
65.00 - 75.00 USD / Hourly
For our client, we are seeking a Data Scientist to develop advanced analytics, predictive models, and machine learning solutions that support strategic business decisions. This individual will work with large datasets, identify meaningful patterns, and collaborate with technical and business teams to deliver actionable insights through statistical analysis, data modeling, and artificial intelligence.
2026-10-23T12:53:41Z

Software Engineer

Orlando, FL
onsite
Temporary / Contract
80.00 - 85.00 USD / Hourly
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. Key Responsibilities:· Design, develop, and maintain integrations between Moveworks, ServiceNow, Workday, SAP, Azure Entra ID, and other enterprise platforms.· Build and support REST API, webhook, and OAuth 2.0 integrations for enterprise applications.· Design and implement identity mapping, Single Sign-On (SSO), and access control solutions across integrated platforms.· Develop and maintain ServiceNow capabilities, including Scripted REST APIs, Glide APIs, ACLs, Knowledge Management configurations, and workflow integrations.· Build and support user provisioning, group synchronization, and access governance processes.· Create and maintain Workday integrations and queries supporting HR automation processes such as employee onboarding, status changes, and separations.· Enforce permission-aware content retrieval using ServiceNow as the system of record for authorization decisions.· Monitor, troubleshoot, and resolve production issues using logs, API traces, monitoring platforms, and vendor tools.· Execute deployments, environment configurations, reindexing activities, and post-release validation across Development, UAT, and Production environments.· Measure search retrieval performance and answer quality while partnering with content owners to improve search effectiveness.· Create technical design documents, implementation plans, test strategies, and engineering status updates.· Participate in code reviews and mentor engineers and contract resources.· Collaborate with external vendors, system integrators, and business stakeholders to deliver scalable enterprise solutions.
2026-11-06T19:38:44Z

AI GTM Engineer (Contract)

Atlanta, GA
remote
Temporary / Contract
- USD / Hourly
Location: Atlanta, GA (Hybrid – standard remote/in-office split in Atlanta)Duration: Ongoing ContractEmployment Type: Full-Time Contract About the RoleWe are seeking an innovative, system-minded AI GTM Engineer 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.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.Key Responsibilities<ul><li>AI & Agentic Workflow Architecture: Design, build, and deploy autonomous AI agents, LLM prompts, and intelligent workflows to automate inbound lead processing, outbound plays, and account personalization.</li><li>Signal & Data Orchestration: 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>Tech Stack Integration: 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>Experimentation & Playbook Design: Rapidly test, iterate, and optimize automated outreach, messaging variations, and routing rules based on performance metrics (reply rates, pipeline velocity, conversion lift).</li><li>Team Enablement & Technical Governance: 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

Snowflake Data Engineer

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. Responsibilities: • Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases. • Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable. • Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption. • 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. • Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate. • Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes. • Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability. • Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers. • Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions. • 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

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242 results for Artificial Intelligence Ai Engineer in Remoter