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Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning 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 Machine Learning 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>
2026-10-30T00:00:00Z

Integration Engineer

Bethesda, MD
onsite
Temporary / Contract
80 - 124 USD / Hourly
Integration EngineerLocation: Bethesda, MD (Hybrid)OverviewSeeking an experienced Integration Engineer to design, build, deploy, and support enterprise integrations, APIs, connectors, workflows, and MCP servers/tools. This hands-on role owns integrations throughout their lifecycle and helps shape architecture, integration standards, and engineering best practices.Works within Integration Engineering alongside Application Engineering and Quality Engineering, supporting Azure Integration Services (AIS), Celigo, and other integration platforms.Key Responsibilities<ul><li>Design, build, support, and troubleshoot integrations using Logic Apps, Azure Functions, Service Bus, Event Grid, and Celigo.</li><li>Develop APIs, webhooks, connectors, adapters, data mappings, transformations, validation, synchronization, and integration workflows.</li><li>Build and support MCP servers and AI integrations, including schemas, tool definitions, security controls, permissions, auditing, and protocol compatibility.</li><li>Develop solutions using C#/.NET, Python, JavaScript/TypeScript.</li><li>Define API standards including OpenAPI, versioning, authentication, authorization, pagination, rate limiting, and error handling.</li><li>Partner with architecture leadership to improve scalability, reliability, maintainability, security, performance, and cost optimization.</li><li>Create reusable frameworks, templates, connectors, standards, and integration patterns.</li><li>Implement security controls including least-privilege access, encryption, managed identities, credential management, and secure data handling.</li><li>Build monitoring, alerting, logging, retries, reconciliation, recovery, and production support processes.</li><li>Support automated testing, CI/CD, release management, source control, and infrastructure as code.</li><li>Collaborate with application, data, AI, business, and vendor teams while maintaining integration documentation and ownership.</li></ul>Preferred Qualifications<ul><li>Azure API Management, Key Vault, Application Insights, Log Analytics, deployment automation, and private connectivity.</li><li>Integrations involving ERP, CRM, SaaS, financial, and legacy systems (NetSuite, DealCloud, Appian, etc.).</li><li>Experience modernizing point-to-point integrations and building reusable frameworks.</li><li>Financial services or regulated industry experience.</li><li>Azure and/or Celigo certifications.</li></ul>Success Metrics<ul><li>Reliable integrations with accurate data and strong production performance.</li><li>Reusable APIs, connectors, event flows, and MCP tools.</li><li>Improved platform architecture driven by implementation feedback.</li><li>Fast issue detection, controlled recovery, and continuous improvement.</li><li>Documented, versioned, and well-supported integrations across AIS, Celigo, and other platforms.</li></ul>
2026-11-03T00:00:00Z

IAM Engineer

San Antonio, TX
onsite
Permanent / Full Time
80000 - 116000 USD / Yearly
We are looking for an IAM Engineer to strengthen identity governance capabilities for a growing enterprise environment in San Antonio, Texas. This role focuses on enhancing access management processes, improving platform reliability, and supporting secure integration across critical business systems. The ideal candidate will bring hands-on experience with identity administration tools, strong troubleshooting ability, and a practical understanding of compliance-driven access controls. Responsibilities: • Manage and enhance the Saviynt identity governance platform to support joiner, mover, and leaver processes, automated provisioning, and access oversight. • Configure connections between Saviynt and enterprise technologies such as Microsoft Entra ID, Active Directory, HR platforms, databases, cloud services, and other integrated applications using APIs and connectors. • Create and maintain workflows, rules, reports, and validation processes that increase automation, improve data quality, and strengthen governance outcomes. • Monitor system health, review performance trends, and resolve complex technical issues to improve availability, scalability, and operational efficiency. • Partner with cybersecurity teams, application owners, auditors, and business stakeholders to design and refine identity controls and governance solutions. • Support identity modernization efforts through application onboarding, migration-related activities, certification campaigns, and governance improvements. • Produce and maintain operational documentation including support records, runbooks, troubleshooting guides, and technical procedures. • Develop dashboards and reporting capabilities to track provisioning performance, certification progress, platform usage, and compliance metrics. • Contribute to backup, recovery, and disaster recovery planning by assisting with testing processes and infrastructure resilience activities.
2026-11-04T00:00:00Z

Infrastructure Engineer

Radnor, PA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for an Infrastructure Engineer to support and strengthen enterprise infrastructure operations across on-premises and cloud environments. This contract opportunity is ideal for a hands-on individual who can help maintain reliable data center services, improve Microsoft 365 and Azure platforms, and contribute to secure, scalable technology solutions. The role partners with internal teams and external providers to deliver practical infrastructure improvements, support end users, and drive consistent operational standards. Responsibilities: • Deliver technical support for employees using Windows, macOS, iOS, and Android devices, ensuring timely resolution of hardware, software, and access issues. • Oversee the health and performance of data center systems across physical, virtual, and hosted environments, and work with service partners to implement improvements. • Execute infrastructure updates and platform changes across servers, operating systems, virtualization layers, and storage systems using controlled deployment practices. • Administer and enhance Microsoft 365 and Azure services with a focus on usability, security, service consistency, and cost awareness. • Configure and support identity and access solutions, including Active Directory and Azure Active Directory integrations with cloud applications and SaaS platforms. • Participate in disaster recovery planning and carry out recovery procedures to validate readiness and alignment with business expectations. • Introduce tools and processes that simplify end-user support, while guiding teams through adoption of new infrastructure services and capabilities. • Create and maintain technical standards, system documentation, and operational procedures to support repeatable service delivery. • Lead or contribute to small and mid-sized infrastructure initiatives across multiple sites, coordinating tasks, timelines, and technical execution.
2026-10-27T00:00:00Z

Cloud Engineer

Jacksonville, FL
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a Cloud Engineer to join a service organization in Jacksonville, Florida in a contract capacity with the potential to become permanent. This role is suited for a hands-on, detail-oriented individual who can strengthen and support enterprise cloud infrastructure while improving reliability, automation, and operational efficiency. The position will work across Microsoft-based environments and Azure services, partnering with technical teams to deliver stable, secure, and scalable solutions. Responsibilities: • Design, implement, and maintain cloud and hybrid infrastructure solutions across enterprise Microsoft and Azure environments. • Administer production Azure resources and help optimize performance, availability, and cost across hosted services. • Build and enhance automated infrastructure deployment processes using Infrastructure as Code tools such as Terraform. • Support container-based platforms, including Docker and Azure Kubernetes Service, to improve application delivery and platform scalability. • Collaborate with engineering and operations teams to define technical standards, strengthen system reliability, and promote cloud best practices. • Lead infrastructure initiatives from planning through execution, ensuring timelines, quality expectations, and business needs are met. • Troubleshoot complex platform, server, and network-related issues, including active participation during service incidents and outage response calls. • Develop and maintain scripts and deployment workflows using tools such as PowerShell, Python, or Bash to streamline administration and repeatable tasks. • Contribute to secure cloud operations by applying sound controls for access, compliance, data protection, and environment governance. • Deliver responsive internal support by listening carefully, communicating clearly, recommending practical solutions, and confirming follow-up actions are completed.
2026-10-26T00:00:00Z

Cloud Engineer

Morristown, NJ
remote
Permanent / Full Time
140000 - 161000 USD / Yearly
We are looking for a Cloud Engineer to help build and support resilient cloud infrastructure in Morristown, New Jersey. In this role, you will create automation-first solutions using Terraform and Infrastructure as Code practices to improve scalability, consistency, and security. You will partner with development, DevOps, security, and infrastructure teams to deliver reliable cloud platforms and streamline deployment processes. Responsibilities: • Architect, implement, and maintain cloud environments across major platforms such as AWS, Azure, or Google Cloud. • Create and refine reusable Terraform modules and infrastructure code standards to enable consistent provisioning at scale. • Automate infrastructure deployment, system configuration, and operational workflows to reduce manual effort and improve reliability. • Develop and support cloud networking, identity, security, and observability capabilities for enterprise applications. • Work with cross-functional engineering teams to advance CI/CD pipelines and strengthen cloud automation practices. • Investigate and resolve issues affecting infrastructure, cloud services, and application performance. • Apply security controls, governance policies, and compliance measures throughout the cloud environment. • Track platform health, availability, and resource usage to support performance optimization and capacity planning. • Support container-based platforms using technologies such as Kubernetes and Docker. • Produce clear technical documentation, architecture visuals, and operational procedures while contributing to cloud modernization initiatives.
2026-10-26T00:00:00Z

Cloud Engineer

Atlanta, GA
onsite
Temporary / Contract
60 - 65 USD / Hourly
For our client, we are seeking an experienced Cloud Engineer to design, implement, manage, and optimize cloud infrastructure and services. This individual will support cloud migrations, infrastructure automation, system reliability, and security initiatives while ensuring high availability and performance across enterprise cloud environments.
2026-10-23T00:00:00Z

Cloud Engineer

York, PA
remote
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a Cloud Engineer to build and support secure, scalable cloud environments for a contract opportunity with potential for a permanent role. This role focuses on infrastructure automation, cloud security, and compliance-driven engineering across modern cloud platforms, with an emphasis on creating reliable deployment standards and well-governed environments. The ideal candidate brings hands-on experience with Terraform, strong knowledge of AWS services, and the ability to partner with technical and compliance teams to deliver resilient solutions. Responsibilities: • Design, deploy, and administer cloud infrastructure that supports performance, scalability, and strong security controls across production and non-production environments. • Create and refine Infrastructure as Code using Terraform, developing reusable modules and standardized patterns that improve consistency and speed of delivery. • Embed compliance and security requirements into cloud architectures by applying controls for access management, encryption, logging, and governance. • Work with security and audit stakeholders to prepare compliance evidence, address findings, and support remediation activities tied to regulatory frameworks. • Configure and maintain monitoring, alerting, and threat-detection capabilities using services such as CloudWatch, GuardDuty, and Security Hub. • Evaluate cloud environments for efficiency, reliability, and cost effectiveness, then recommend and implement improvements where needed. • Partner with DevOps, application, and security teams to strengthen CI/CD processes and incorporate secure engineering practices into deployment workflows. • Produce clear technical documentation covering architecture decisions, Terraform assets, operational procedures, and compliance-related processes. • Provide guidance to internal teams on cloud best practices, infrastructure automation, and secure configuration standards across AWS and related platforms.
2026-11-04T00:00:00Z

Cloud Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking an experienced Azure Cloud Engineer to design, implement, manage, and optimize cloud infrastructure within Microsoft Azure environments. This role will focus on supporting cloud operations, infrastructure deployments, automation, security, and performance optimization across enterprise systems. The ideal candidate has strong hands-on experience with Azure infrastructure and services, cloud networking, and infrastructure automation, along with the ability to troubleshoot complex cloud environments and implement scalable, secure solutions.
2026-10-22T00:00:00Z

Senior Systems Engineer

Avondale, AZ
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking an experienced Senior Systems Engineer to lead the design, administration, optimization, and support of a complex enterprise infrastructure environment. This role is responsible for ensuring the performance, security, scalability, and reliability of critical systems spanning on-premises, hybrid, and cloud-based technologies.The ideal candidate will bring deep expertise across server infrastructure, virtualization, cloud platforms, storage solutions, identity management, and enterprise collaboration technologies. This individual will serve as a technical leader, driving infrastructure modernization initiatives while maintaining highly available and secure systems that support business operations. What You'll DoInfrastructure Strategy & Architecture<ul><li>Partner with IT leadership and business stakeholders to assess current and future infrastructure needs.</li><li>Develop and maintain infrastructure roadmaps supporting growth, security, resiliency, and operational efficiency.</li><li>Create and maintain technical documentation, system architecture diagrams, procedures, asset inventories, and operational standards.</li><li>Contribute to disaster recovery, business continuity, and infrastructure governance initiatives.</li><li>Provide technical leadership, mentoring, and guidance to junior team members and cross-functional IT teams.</li></ul>Systems Engineering & Deployment<ul><li>Design, implement, and maintain enterprise server, storage, virtualization, and cloud environments.</li><li>Lead infrastructure upgrades, migrations, consolidations, and modernization projects.</li><li>Evaluate and recommend emerging technologies, platforms, and cybersecurity best practices.</li><li>Collaborate with technology vendors and service providers to implement and support infrastructure solutions.</li><li>Identify opportunities for automation, performance improvement, and operational efficiency.</li></ul>Enterprise Systems Administration<ul><li>Administer and support Windows Server and Linux environments.</li><li>Manage VMware vSphere, VMware Cloud Foundation, and enterprise storage platforms.</li><li>Support Microsoft Azure and Microsoft 365 services, including Exchange Online, Teams, and SharePoint.</li><li>Administer Active Directory, Microsoft Entra ID, Group Policy, DNS, DHCP, and certificate services.</li><li>Monitor system performance, availability, capacity, and overall infrastructure health.</li><li>Develop and maintain automation using PowerShell and other scripting tools.</li></ul>Security, Backup & Disaster Recovery<ul><li>Manage patching, system updates, and vulnerability remediation activities.</li><li>Implement and maintain infrastructure security controls, identity management, and access governance.</li><li>Support security audits, compliance initiatives, and cybersecurity best practices.</li><li>Administer backup and recovery platforms and validate disaster recovery procedures through regular testing.</li><li>Ensure business-critical systems meet availability, security, and recovery objectives.</li></ul>Operational Support<ul><li>Troubleshoot and resolve complex infrastructure, virtualization, storage, and cloud-related issues.</li><li>Maintain operational documentation and change management records.</li><li>Participate in an on-call rotation providing after-hours support for critical systems and services.</li></ul>
2026-11-03T00:00:00Z

Linux/Unix Systems Engineer

Washington D.c., DC
onsite
Temporary / Contract
52 - 57 USD / Hourly
We are looking for a Linux/Unix Systems Engineer to serve as the technical authority for a large enterprise Linux environment. This role will lead the design, engineering, modernization, security, and operational support of Red Hat Enterprise Linux (RHEL) and Oracle Linux platforms. Key Responsibilities:· Design and maintain enterprise Linux infrastructure including RHEL and Oracle Linux environments.· Develop and manage automation and configuration management solutions using Ansible, Ansible Automation Platform, and Red Hat Satellite.· Lead operating system lifecycle management, upgrades, and migration initiatives across RHEL platforms.· Establish and maintain security hardening standards aligned with CIS Benchmarks, DISA STIGs, FISMA, and NIST 800-53 requirements.· Design and test high availability, backup, disaster recovery, and capacity planning solutions.· Act as the senior escalation point for complex Linux platform incidents and critical outages.· Lead root cause analysis efforts and drive remediation strategies.· Mentor junior administrators and provide technical guidance across the team.· Participate in architecture reviews, change control boards, and technical planning sessions.· Develop and maintain engineering documentation, SOPs, and design standards.· Install, configure, monitor, and maintain Linux-based servers and systems.· Manage system performance, patching, vulnerability remediation, and compliance activities.· Troubleshoot hardware, software, networking, and infrastructure issues.· Support scheduled maintenance activities, upgrades, and after-hours incident response as needed.
2026-10-22T00:00:00Z

Artificial Intelligence (AI) System Engineer

Albuquerque, NM
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions. Responsibilities:• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.Other duties as needed
2026-11-02T00:00:00Z

Artificial Intelligence (AI) Engineer

Irvine, CA
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to join a team building intelligent applications and production-ready AI services in Irvine, California. This role combines software engineering, applied AI development, and operational ownership, with a focus on creating reliable user-facing tools and scalable backend systems. The ideal candidate brings hands-on experience with modern language model platforms, strong Python development skills, and the ability to translate business goals into practical AI solutions. Responsibilities: • Create and launch web-based products, AI-powered services, and multi-step agent workflows that support complex tool interactions and orchestration. • Develop and support integrations with Anthropic platforms and Claude capabilities, including streaming responses, prompt optimization, caching strategies, and tool-enabled model behavior. • Craft, refine, and assess prompts to improve consistency, safety, response quality, and cost performance across AI-driven features. • Build backend REST APIs in Python and deliver front-end functionality in React and TypeScript to support AI-enabled user experiences. • Manage deployment operations for AI systems by maintaining containerized services, delivery pipelines, cloud environments, and runtime monitoring. • Design and tune database interactions for relational systems to ensure efficient querying and dependable application performance. • Establish automated testing approaches for both standard software logic and probabilistic AI behavior, including evaluation workflows and regression coverage. • Partner with technical and business stakeholders to convert operational needs into effective AI-based solutions and product enhancements. • Produce clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
2026-10-22T00:00:00Z

Artificial Intelligence (AI) Engineer

Monroe, NY
onsite
Permanent / Full Time
150000 - 225000 USD / Yearly
We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools. Key Responsibilities: <ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul>
2026-10-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Jacksonville, FL
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create and scale advanced generative AI solutions for a highly regulated financial services setting in Jacksonville, Florida. This position is ideal for a hands-on engineer who can turn concepts into dependable production applications while balancing speed, quality, and security. You will work across AI architecture, application development, and cloud deployment to deliver intelligent capabilities that support enterprise business goals. Responsibilities: • Design and implement generative AI applications and agent-based workflows that solve complex business challenges in a financial services environment. • Build end-to-end AI capabilities, including solution design, development, testing, deployment, and ongoing performance monitoring. • Connect large language models to enterprise products and operational processes to deliver practical, production-ready functionality. • Develop and maintain data preparation workflows such as document chunking, embedding generation, indexing, and vector search optimization. • Configure and manage cloud infrastructure using Terraform to support scalable, resilient, and secure AI services. • Engineer robust backend components and enterprise applications using C# and the Microsoft technology stack. • Collaborate with technical and business stakeholders to define requirements, prioritize deliverables, and drive high-quality execution. • Ensure AI systems meet expectations for reliability, governance, data protection, and compliance within a regulated industry. • Continuously refine models, pipelines, and application performance to improve accuracy, efficiency, and operational stability.
2026-10-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join a growing team. This position focuses on building intelligent, production-ready applications that combine modern software engineering with advanced agent-based AI capabilities. The ideal candidate will lead solutions from early design through deployment, creating scalable services, responsive user experiences, and reliable AI-driven workflows that support business objectives. Responsibilities:• Lead the full product development lifecycle for AI-powered applications, from solution design and architecture through testing, deployment, and ongoing improvement.• Create and support backend platforms using Python or Node.js, delivering scalable services and well-structured APIs for web and AI-based systems.• Build and refine React-based user interfaces that connect smoothly with backend services and provide a consistent application experience.• Design distributed architectures, including microservices and agent orchestration patterns, to support complex reasoning, tool usage, memory, and multi-step execution.• Integrate large language models with business systems, external tools, databases, and enterprise applications to enable practical automation and decision support.• Improve performance across applications by tuning services, optimizing database interactions, and managing efficient use of cloud infrastructure.• Establish secure engineering practices by implementing authentication, access controls, and reliable approaches to privacy, testing, and system protection.• Oversee containerized deployments and continuous delivery workflows using Docker and related DevOps tooling, while resolving issues in production cloud environments.• Define evaluation, monitoring, and tracing methods that measure AI agent quality, cost, latency, safety, and overall operational reliability.• Partner with cross-functional stakeholders and provide technical guidance to engineers contributing to agentic AI initiatives and platform development.
2026-10-30T00:00:00Z

Artificial Intelligence (AI) Engineer

Cincinnati, OH
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to join a long-term contract opportunity based in Cincinnati, Ohio. In this role, you will create and operationalize AI and machine learning solutions with a strong focus on generative AI, helping translate business needs into secure, scalable applications. You will collaborate across technical and business teams to deliver production-ready models, strengthen AI adoption, and support measurable outcomes through thoughtful engineering and evaluation. Responsibilities: • Create, train, and deploy scalable AI and machine learning solutions, including generative AI applications such as large language models, retrieval-augmented systems, and prompt-driven workflows. • Build and maintain data pipelines, feature preparation processes, and model training and evaluation jobs using Python and established machine learning frameworks. • Deliver models into production as APIs or batch processes, and improve inference performance with attention to speed, reliability, and cost efficiency. • Assess emerging generative AI tools and model architectures, including embeddings, vector search, and diffusion-based approaches, to support defined business use cases. • Develop prompt strategies, orchestration flows, safety controls, and evaluation methods, using structured testing to improve response quality and reduce risk. • Apply MLOps and LLMOps practices such as experiment tracking, version control, deployment automation, monitoring, alerting, and drift detection. • Integrate AI services with enterprise data platforms and business systems, including APIs, event-driven architectures, data warehouses, and reporting environments. • Partner with product, analytics, IT, and data architecture teams to clarify requirements, document technical decisions, and deliver solutions that meet agreed objectives. • Promote responsible AI practices by incorporating privacy, security, fairness, and content safety considerations into model behavior, testing, and deployment. • Track performance indicators for AI initiatives, share insights on effectiveness and adoption, and stay current with advances in generative AI and broader machine learning methods.
2026-11-05T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join our team. This position focuses on building intelligent applications and scalable software systems that support advanced AI-driven products in the real estate and property industry. The ideal candidate brings deep engineering expertise across modern backend development, API design, front-end integration, and agent-based AI architecture. You will play a key role in shaping production-ready AI solutions that are reliable, secure, and aligned with business goals. Responsibilities:• Lead full lifecycle development of AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.• Design and deliver agent-based AI solutions that support reasoning, multi-step execution, tool usage, memory handling, and workflow orchestration.• Build, test, and maintain scalable backend applications and services using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks such as Express or NestJS.• Create and support RESTful and GraphQL interfaces that connect web applications, internal platforms, databases, and external tools.• Develop React-based user interfaces and ensure smooth interaction between front-end components and backend services.• Architect microservices and distributed application patterns that improve scalability, resilience, and maintainability.• Improve system efficiency by tuning application performance, refining database usage, and managing cloud resources effectively.• Apply strong security practices across authentication, authorization, deployment, and production operations while supporting CI/CD pipelines and containerized environments.• Establish monitoring, tracing, evaluation, and debugging practices for AI systems in production, and resolve issues across cloud-based environments.• Partner with product, design, DevOps, data, and engineering teams while providing technical guidance on AI platform strategy and engineering standards.
2026-10-30T00:00:00Z

Artificial Intelligence (AI) Engineer

Lawrenceville, GA
onsite
Permanent / Full Time
120000 - 150000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to help build and expand practical AI capabilities for the business. This role works closely with functional leaders to uncover meaningful use cases, convert operational challenges into scalable technical solutions, and deliver tools that improve decision-making and efficiency. It is a strong opportunity for a hands-on specialist who enjoys working in a developing environment and wants to influence how AI is applied across the organization. Responsibilities: • Partner with business leaders to understand operational pain points and identify where AI can create measurable value. • Translate business needs into solution concepts, technical approaches, and implementable AI initiatives. • Design, develop, test, and deploy AI and machine learning applications that address real-world business problems. • Evaluate repetitive workflows and manual tasks across departments to recommend automation or intelligent assistance opportunities. • Collaborate with teams such as finance, recruiting, and operations to create tools that improve productivity and information flow. • Help establish an internal pipeline of AI initiatives by assessing impact, feasibility, and implementation priorities. • Serve as a bridge between non-technical stakeholders and technical execution by clearly communicating options, risks, and outcomes. • Contribute to the growth of the organization’s AI capability through hands-on development, experimentation, and continuous improvement.
2026-10-21T00:00:00Z

Artificial Intelligence (AI) Engineer

Irvine, CA
onsite
Permanent / Full Time
150000 - 160000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create intelligent applications and production-ready AI services that deliver measurable business value. This role is based in Irvine, California, and blends backend engineering, frontend development, and operational ownership to bring AI capabilities into real-world products. The ideal candidate is comfortable building agent-based workflows, shaping reliable prompt strategies, and partnering with stakeholders to turn complex needs into practical technical solutions. Responsibilities: • Create and launch web-based products, AI-enabled services, and multi-step agent workflows that support complex tool interactions and orchestrated decision-making. • Develop and support integrations with leading language model platforms, including capabilities such as streaming responses, prompt optimization, tool invocation, and cached interactions. • Craft, refine, and assess prompts to improve output quality while balancing consistency, safety considerations, and usage cost. • Build Python-based REST APIs and React/TypeScript user interfaces that expose AI functionality in a scalable and user-friendly way. • Manage deployment and operational processes for AI systems, including container builds, automated delivery pipelines, cloud hosting, and runtime observability. • Design and optimize database queries for relational data stores to ensure strong performance and dependable access patterns. • Establish testing approaches for both predictable application logic and variable AI behavior through evaluation harnesses, regression coverage, and automated validation. • Work closely with cross-functional partners to define use cases, align technical choices with business priorities, and deliver effective AI-backed solutions. • Produce and maintain clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
2026-10-22T00:00:00Z

Artificial Intelligence (AI) Engineer

Conshohocken, PA
onsite
Permanent / Full Time
170000 - 180000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to help turn promising AI concepts into reliable, scalable solutions used across the business. This role works closely with technology, product, and operational teams in Conshohocken, Pennsylvania to guide practical delivery decisions, strengthen production AI systems, and ensure solutions are secure, governable, and useful for everyday workflows. The ideal candidate combines hands-on engineering depth with strong judgment, enabling teams and stakeholders to move from experimentation to measurable business impact. Responsibilities: • Collaborate with cross-functional technology and product teams to advance AI initiatives from early testing into stable production environments while aligning with existing ownership across the organization. • Design, build, and support production-ready AI systems, while providing technical guidance and mentorship to other engineers contributing to delivery efforts. • Define and improve the end-to-end productionization process for AI solutions, including system architecture, model evaluation, performance optimization, cost management, observability, and continuous iteration. • Embed AI capabilities into operational workflows so that teams gain practical adoption, improved efficiency, and stronger output quality rather than isolated proof-of-concept results. • Apply responsible AI practices that support healthcare-oriented expectations around privacy, security, governance, and model oversight without slowing delivery unnecessarily. • Assess third-party platforms, vendors, and integration approaches to identify scalable options and avoid tools that create fragmented or short-term solutions. • Drive automation opportunities across content and compliance-related processes to create more efficient and differentiated delivery capabilities. • Contribute technical expertise during client discussions, proposals, and new business efforts by clearly representing what can be built and delivered in real-world timelines. • Engage confidently with client and internal stakeholders across IT, brand, medical, and agency functions, translating technical considerations into practical business decisions. • Help non-technical users adopt AI tools by promoting governed, accessible solutions that fit the needs of teams beyond engineering.
2026-11-03T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring for a Principal level Software Engineer to focus on agentic workflows and AI software products. In this role, you will lead full product development efforts while creating intelligent, scalable applications that combine agentic AI capabilities with modern web technologies. The position calls for a hands-on engineer who can build reliable backend systems, contribute to user-facing experiences, and partner across teams to deliver secure, high-performing solutions. Responsibilities:• Lead the full software development lifecycle for AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.• Create and refine agentic AI workflows that support business objectives and integrate effectively with application services.• Build, test, and support scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks including Express or NestJS.• Develop and maintain RESTful or GraphQL interfaces that enable dependable communication between applications and services.• Contribute to front-end development with React, ensuring smooth interaction between user interfaces and backend functionality.• Architect and support microservices-based and distributed systems designed for reliability, flexibility, and growth.• Improve overall system efficiency by tuning application performance, refining database access patterns, and managing cloud resource consumption.• Apply strong security practices by implementing access control, authentication, and authorization measures across applications.• Oversee containerized delivery processes and automated deployment workflows using Docker and CI/CD tools, while diagnosing and resolving production issues in cloud environments.• Work closely with product, design, and DevOps partners to deliver maintainable, well-documented solutions that meet project goals.
2026-11-02T00:00:00Z

Artificial Intelligence (AI) Engineer

Jupiter, FL
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create practical solutions that improve how teams work, analyze information, and make decisions. This position is based in Jupiter, Florida, and focuses on designing intelligent applications, workflow automations, and data-driven tools that support business and financial operations. You will collaborate with stakeholders across the organization to translate open-ended challenges into reliable, scalable products built with modern engineering and cloud technologies. Responsibilities: • Design and develop internal AI-powered applications, dashboards, and automation tools that streamline day-to-day business activities. • Integrate APIs, databases, and core business platforms to reduce manual effort and improve process efficiency. • Create reporting, research, and analytical workflows that use AI capabilities to deliver faster and more useful insights. • Build solutions that assist with investment analysis, portfolio oversight, and broader financial decision support. • Automate recurring deliverables across finance, accounting, and operational reporting functions. • Develop and maintain solutions within Microsoft 365, Azure, GitHub, and related technology environments. • Define engineering best practices by establishing documentation, reusable standards, and repeatable development processes. • Assess existing technology architecture, system integrations, access controls, and security considerations to support reliable implementation. • Partner closely with business users and leadership to understand needs, prioritize opportunities, and deliver functional tools that solve real problems.
2026-11-03T00:00:00Z

Sr. Data Engineer

Minneapolis, MN
onsite
Permanent / Full Time
115000 - 144000 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. Responsibilities: • Build and maintain scalable data pipelines that ingest, transform, and deliver information from a variety of enterprise and operational data sources. • Design data models and warehouse structures that improve reporting performance, support analytics use cases, and enable long-term scalability. • Develop and orchestrate ETL and ELT workflows using cloud-based and workflow automation tools to ensure dependable data movement across systems. • Create batch and near-real-time processing solutions that provide timely, accurate datasets for downstream applications and analytical teams. • Write efficient, well-structured Python and SQL code to cleanse, transform, and validate large and complex datasets. • Monitor pipeline health, investigate failures, and tune jobs for reliability, cost control, and overall platform performance. • Establish data quality checks, testing routines, and governance practices to maintain consistency, integrity, and compliance across the data environment. • 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.
2026-11-04T00:00:00Z

Quality Engineer

Lockport, NY
onsite
Permanent / Full Time
60000 - 80000 USD / Yearly
Robert Half Permanent Placement is excited to partner with an innovative manufacturer in Lockport, NY on their search for a Quality Engineer. This exciting role has a starting salary of $60,000 - $80,000 depending on experience and a comprehensive benefits package. Our great client has newly created this position that comes with excellent career growth opportunity for someone with a quality and safety mindset. Responsibilities include but not limited to: <ul><li>Develop, implement, and maintain quality procedures, work instructions, inspection methods, and testing protocols to ensure compliance with customer, regulatory, and internal quality standards</li><li>Evaluate manufacturing processes, analyze quality data and trends, and lead continuous improvement initiatives that enhance product quality, reduce waste, and improve operational efficiency</li><li>Conduct product, material, equipment, and process validation activities, including testing, calibration management, statistical analysis, and documentation of results </li><li>Lead investigations involving nonconforming materials, customer complaints, and corrective and preventive actions, performing root cause analysis and implementing effective corrective actions</li><li>Support and maintain the Quality Management System including safety and quality certifications, customer specifications, raw material specifications, and finished product requirements</li><li>Train production and quality personnel on quality systems, inspection methods, new equipment, and standard operating procedures to ensure consistent execution across the organization</li><li>Support customer and certification audits, respond to customer quality inquiries, maintain inspection and calibration records, and serve as backup to the Director of Quality as needed</li></ul>
2026-10-16T00:00:00Z

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