106 Results for Aiml Engineer Jobs

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AI/ML Engineer

Phoenix, AZ
onsite
Temporary / Contract
0 - 0 USD / Yearly
A growing organization in the Phoenix area is seeking an experienced AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that drive business innovation and operational efficiency. This role will work closely with software engineers, data scientists, product teams, and business stakeholders to build scalable AI-powered applications and advanced analytics solutions.The ideal candidate combines strong software engineering fundamentals with hands-on experience in machine learning, deep learning, and modern AI technologies, including generative AI and large language models (LLMs). Key Responsibilities<ul><li>Design, develop, test, and deploy machine learning models and AI-driven applications.</li><li>Build and maintain scalable data pipelines to support model training, evaluation, and production inference.</li><li>Develop predictive analytics, classification, recommendation, forecasting, and natural language processing (NLP) solutions.</li><li>Implement and optimize deep learning models using modern frameworks and cloud-based infrastructure.</li><li>Collaborate with cross-functional teams to identify business opportunities for AI and machine learning applications.</li><li>Monitor model performance, accuracy, and reliability in production environments.</li><li>Apply MLOps best practices for model versioning, deployment automation, monitoring, and governance.</li><li>Develop APIs and microservices to operationalize AI models and integrate them into enterprise applications.</li><li>Work with structured and unstructured datasets to prepare, cleanse, and engineer features for modeling.</li><li>Stay current with emerging technologies and advancements in AI, machine learning, and generative AI.</li></ul>
2026-09-18T00:00:00Z

AI Engineer

Lawrenceville, GA
onsite
Permanent / Full Time
150000 - 200000 USD / Yearly
Robert Half is working with a client in Lawrenceville, GA looking for an AI Engineer.<ul><li>Partner with business stakeholders to identify opportunities where AI can improve workflows, productivity, and decision-making.</li><li>Translate business challenges into scalable AI and automation solutions.</li><li>Design, develop, and implement AI-powered tools and applications.</li><li>Evaluate emerging AI technologies and recommend practical business use cases.</li><li>Work cross-functionally with leaders across finance, operations, human resources, and other business functions.</li><li>Identify repetitive and manual processes that can be automated or enhanced through AI.</li><li>Support the development of an enterprise AI roadmap and project pipeline.</li><li>Create proof-of-concepts, prototypes, and production-ready AI solutions.</li><li>Help establish best practices, governance standards, and AI adoption strategies.</li><li>Drive successful execution from concept through implementation and user adoption.</li></ul>
2026-10-01T00:00:00Z

AI Engineer

Boca Raton, FL
remote
Temporary / Contract
55 - 60 USD / Hourly
We are looking for an AI Engineer to serve as a force multiplier for the client’s engineering organization. The role is part of an initiative to design, build, and scale AI-powered engineering workflows that dramatically increase developer productivity and accelerate software delivery. The client’s team is actively supporting a complex legacy-to-Python migration while maintaining multiple customer-facing applications. This role will be responsible for leveraging AI technologies to automate and optimize every phase of the Software Development Life Cycle (SDLC), including requirements analysis, code generation, testing, defect investigation, and release processes. Key Responsibilities:· Design and implement AI-powered workflows that automate software engineering processes across the SDLC.· Build and orchestrate multi-step AI agent frameworks for code analysis, generation, validation, testing, and feedback loops.· Develop reusable AI tooling, agent templates, and engineering playbooks adopted across multiple teams.· Create automated testing solutions, regression frameworks, and validation mechanisms using AI-assisted approaches.· Enhance CI/CD pipelines and DevOps processes through intelligent automation and release optimization.· Support large-scale legacy application modernization and business rule extraction initiatives.· Build Python-based automation tools for data processing, workflow orchestration, and engineering productivity.· Partner with developers, architects, and engineering leadership to identify and eliminate delivery bottlenecks.· Evaluate and implement emerging AI technologies that improve software development efficiency and quality.
2026-10-06T00:00:00Z

AI Engineer

Atlanta, GA
onsite
Permanent / Full Time
85000 - 105000 USD / Yearly
Robert Half is working with a client in the metro-Atlanta area seeking an AI Engineer.<ul><li>Develop LLM-powered and agent-based applications using Claude APIs</li><li>Design and implement MCP-based agents (Model Context Protocol) within AWS environments</li><li>Build prompt workflows, orchestration logic, and autonomous agent behaviors</li><li>Integrate enterprise systems and data sources via APIs</li><li>Optimize AI solutions for token efficiency, cost, and performance</li><li>Develop backend services and utilities to support AI applications</li><li>Collaborate with stakeholders, product teams, and engineers to deliver scalable solutions</li></ul>
2026-10-02T00:00:00Z

AI Engineer

Memphis, TN
onsite
Permanent / Full Time
125000 - 150000 USD / Yearly
<ul><li>Design, develop, test, and deploy AI-powered applications and services.</li><li>Build and optimize LLM and generative AI solutions using Azure OpenAI and related platforms.</li><li>Develop RAG architectures that connect LLMs to enterprise documents, databases, APIs, and other data sources.</li><li>Design and implement vector search, embeddings, semantic search, and knowledge retrieval capabilities.</li><li>Develop AI workflows using frameworks such as Semantic Kernel, LangChain, LangGraph, or Microsoft Copilot Studio.</li><li>Integrate AI solutions with existing enterprise applications, APIs, databases, and data platforms.</li><li>Develop production-quality services using Python and/or .NET/C#.</li><li>Work with Azure services including Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Functions, Azure Storage, and related cloud services.</li><li>Build data pipelines and preprocessing workflows to prepare enterprise information for AI applications.</li><li>Evaluate LLM performance, accuracy, relevance, latency, and cost.</li><li>Implement techniques such as prompt engineering, grounding, retrieval optimization, evaluation, and guardrails.</li><li>Partner with data engineers, software engineers, architects, and business stakeholders to move AI initiatives from proof-of-concept to production.</li><li>Establish appropriate practices for security, responsible AI, data privacy, and governance.</li><li>Troubleshoot and optimize AI applications in production environments.</li><li>Stay current with emerging AI technologies, models, frameworks, and development practices.</li></ul>
2026-10-06T00:00:00Z

AI Engineer

Fort Washington, PA
onsite
Temporary / Contract
55 - 60 USD / Hourly
We are looking for an AI Engineer to help build and enhance intelligent software solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a senior-level engineer who combines deep .NET and C# expertise with practical experience creating AI-driven applications on the Microsoft ecosystem. In this role, you will partner with technical and business teams to deliver scalable products, improve how intelligent agents operate, and introduce modern AI capabilities into enterprise environments. Responsibilities: • Create and support enterprise applications and backend services using .NET and C# with a focus on scalability, reliability, and maintainability. • Develop AI-enabled features and agent-based solutions using Microsoft technologies such as Azure AI services, Azure OpenAI, Cognitive Services, and related platform tools. • Connect intelligent agents with business platforms, APIs, and operational workflows so they can perform useful actions across enterprise systems. • Refine model performance by shaping prompts, structuring contextual inputs, and improving how agents interpret and respond to requests. • Build retrieval-based solution patterns, including vector search and indexing approaches, to strengthen response quality and access to relevant knowledge. • Implement orchestration logic, state handling, memory strategies, and feedback mechanisms that support more effective agent behavior and task execution. • Assess AI outputs and agent performance through testing, validation methods, and continuous optimization to improve accuracy and dependability. • Work closely with product, data, engineering, and DevOps teams while also reviewing code, guiding less-experienced developers, and promoting strong development standards.
2026-10-01T00:00:00Z

AI Engineer

Atlanta, GA
onsite
Permanent / Full Time
85000 - 105000 USD / Yearly
Robert Half is working with a client in the metro-Atlanta area seeking an AI Engineer.<ul><li>Build and scale AI-powered applications using GPT and LLM technologies</li><li>Design and implement prompt engineering and context strategies</li><li>Develop autonomous AI agents and intelligent workflows</li><li>Build backend services and integrate enterprise data sources</li><li>Work with tools like LangChain / LlamaIndex and vector databases</li><li>Evaluate and improve AI system performance, accuracy, and reliability</li><li>Optimize systems for cost, latency, and scalability</li><li>Deploy, monitor, and troubleshoot production applications</li><li>Collaborate with product and UX teams to deliver user-focused solutions</li><li>Contribute to shared AI tools and platforms used across engineering</li></ul>
2026-10-02T00:00:00Z

AI Engineer

Lawrenceville, GA
onsite
Permanent / Full Time
120000 - 150000 USD / Yearly
Robert Half is working with a client in Lawrenceville, GA who is seeking an AI Engineer.<ul><li>Partner with business stakeholders to identify opportunities where AI can improve workflows, productivity, and decision-making.</li><li>Translate business challenges into scalable AI and automation solutions.</li><li>Design, develop, and implement AI-powered tools and applications.</li><li>Evaluate emerging AI technologies and recommend practical business use cases.</li><li>Work cross-functionally with leaders across finance, operations, human resources, and other business functions.</li><li>Identify repetitive and manual processes that can be automated or enhanced through AI.</li><li>Support the development of an enterprise AI roadmap and project pipeline.</li><li>Create proof-of-concepts, prototypes, and production-ready AI solutions.</li><li>Help establish best practices, governance standards, and AI adoption strategies.</li><li>Drive successful execution from concept through implementation and user adoption.</li></ul>
2026-10-01T00:00:00Z

AI/ML Architect

Madison, WI
remote
Temporary to Hire
90 - 105 USD / Hourly
We are looking for a Data/Information Architect to join a team in Madison, Wisconsin on a contract-to-permanent basis. This position focuses on building and advancing machine learning operations capabilities, with an emphasis on scalable data pipelines, model deployment, and practical forecasting solutions. The ideal candidate brings strong hands-on experience with Python, PySpark, and API-driven ML services, along with the judgment to select the right algorithms for different business problems. Responsibilities: • Architect and enhance machine learning workflows that support reliable model development, testing, deployment, and monitoring. • Create scalable data pipelines using Python and PySpark to prepare, transform, and deliver data for analytics and machine learning use cases. • Evaluate business problems and determine the most appropriate modeling techniques based on data characteristics, performance goals, and operational constraints. • Build and support production-ready machine learning systems and products that integrate forecasting and predictive capabilities into business processes. • Develop and maintain API-based services, including FastAPI solutions, to expose machine learning models for downstream applications. • Measure and improve model performance by tracking accuracy, validating outputs, and refining approaches to strengthen prediction quality. • Partner with technical and business stakeholders to define architecture standards for machine learning platforms and deployed data products. • Contribute to MLOps best practices, including versioning, automation, reproducibility, and operational support for deployed models.
2026-10-07T00:00:00Z

Artificial Intelligence (AI) Engineer

West Palm Beach, FL
onsite
Permanent / Full Time
180000 - 220000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create and scale enterprise AI solutions in West Palm Beach, Florida. This role focuses on building production-ready applications and shared AI services across cloud environments, with an emphasis on reliability, security, and measurable business value. The ideal candidate will combine strong engineering expertise with practical experience in large language models, automation, and system integration to advance research, knowledge management, and operational efficiency. Responsibilities: • Create, implement, and launch enterprise AI applications using Amazon Web Services and related cloud technologies. • Develop scalable AI infrastructure with services such as Amazon Bedrock, SageMaker, EC2, S3, Lambda, API management tools, orchestration services, and monitoring platforms. • Architect AI environments that prioritize security, resilience, performance, and cost control for enterprise use cases. • Build and support reusable AI capabilities that can be adopted across multiple business applications and future informatics efforts. • Engineer solutions powered by large language models, retrieval-augmented generation, AI agents, and contemporary AI development frameworks. • Deliver intelligent assistants, enterprise and semantic search tools, knowledge management capabilities, and document understanding solutions. • Design AI-driven automation that improves workflows and streamlines day-to-day business operations. • Integrate AI platforms with Microsoft and enterprise technologies, including Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, SharePoint Online, Microsoft Teams, and Microsoft Graph. • Develop APIs and connected services that link AI platforms with scientific applications, cloud ecosystems, and business systems. • Contribute to AI governance, lifecycle management, observability, and the evaluation of emerging technologies while helping define enterprise standards and best practices.
2026-10-02T00:00:00Z

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.
2026-09-09T00:00:00Z

Artificial Intelligence (AI) Engineer

Brookfield, WI
onsite
Permanent / Full Time
150000 - 175000 USD / Yearly
We are looking for an experienced Artificial Intelligence (AI) Engineer to create practical, scalable AI solutions that help improve business performance and streamline operations in Brookfield, Wisconsin. In this role, you will partner with technical teams and business leaders to turn complex challenges into intelligent applications, machine learning systems, and generative AI capabilities. The ideal candidate brings a strong software engineering foundation along with hands-on experience delivering AI solutions in cloud environments. Responsibilities: • Build and implement AI, machine learning, and generative AI solutions that address business and operational needs. • Develop intelligent applications such as virtual assistants, chatbot experiences, copilots, and automated workflows. • Train, evaluate, and refine machine learning models to improve performance, reliability, and business impact. • Create and support retrieval-augmented generation solutions and related applications for knowledge-driven use cases. • Work closely with stakeholders to uncover opportunities where AI can enhance processes, decision-making, and user experiences. • Connect AI capabilities with enterprise systems and cloud-based platforms to enable practical adoption at scale. • Establish model deployment and support practices, including monitoring, governance, and lifecycle management. • Apply security, compliance, and responsible AI standards throughout solution design, development, and release. • Research new AI tools and technologies and recommend options that align with organizational goals. • Produce clear technical documentation covering solution architecture, workflows, and implementation details.
2026-09-28T00:00:00Z

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.
2026-09-18T00:00:00Z

Artificial Intelligence (AI) Engineer

Lincolnton, NC
remote
Temporary / Contract
71.25 - 82.5 USD / Hourly
AI/LLM Engineer / Solutions Architect - no 3rd parties, no C2C - no must be eligible to work in the U.S. - Remote with 2 weeks onsite to onboard We are looking for an Artificial Intelligence (AI) Engineer to lead practical AI development efforts for a manufacturing organization in Lincolnton, North Carolina. This Long-term Contract position will focus on creating production-ready automation tools and intelligent workflows that improve decision-making, streamline operations, and uncover business insights from enterprise data. The role is best suited for someone who can translate complex operational needs into scalable AI solutions while partnering closely with cross-functional teams such as Finance and Sales. Responsibilities: • Design and deploy AI-powered applications that automate recurring operational activities and improve workflow efficiency across the business. • Build intelligent solutions that analyze enterprise and operational data to identify trends, risks, and opportunities that support growth and performance. • Create tools that provide visibility into customer purchasing behavior, inventory conditions, material planning, and seasonal business patterns. • Develop AI-driven capabilities that help teams investigate operational issues, uncover contributing factors, and support faster resolution. • Integrate AI models and services with existing business platforms, data sources, and external systems through APIs and structured pipelines. • Partner with stakeholders in Finance, Sales, and other functional areas to define use cases, prioritize deliverables, and align solutions with business goals. • Establish practical standards for AI implementation, including solution scope, governance, and responsible deployment practices. • Produce market intelligence solutions that monitor external signals such as public-sector funding activity, bid opportunities, and competitor developments. • Participate in early onsite collaboration to understand the manufacturing environment, team workflows, and operational priorities before broader delivery begins.
2026-09-25T00:00:00Z

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.
2026-09-22T00:00:00Z

Lead Artificial Intelligence (AI) Engineer

Avon, MN
onsite
Permanent / Full Time
130000 - 190000 USD / Yearly
We are looking for an experienced Lead Artificial Intelligence (AI) Engineer to guide the design and delivery of advanced AI solutions for a growing construction-focused organization in Avon, Minnesota. This role will lead the creation of scalable applications that turn complex project and operational data into practical, production-ready tools. The ideal candidate brings strong technical leadership, deep hands-on engineering expertise, and a track record of building reliable AI systems that integrate with enterprise platforms. Responsibilities: • Lead the technical direction, architecture, and full lifecycle delivery of a core software platform from early concept through production deployment and ongoing improvement. • Design and develop production-grade AI applications, including retrieval-based solutions, agent-driven workflows, tool orchestration, and review processes that incorporate human oversight. • Create robust evaluation frameworks and context management approaches to improve model quality, system reliability, and business relevance. • Connect AI capabilities with enterprise platforms such as Procore, Salesforce, Bluebeam, financial systems, and the organization’s Microsoft Fabric data environment. • Define and enforce engineering best practices across the AI team, including codebase organization, testing strategy, release management, and operational readiness. • Establish observability standards and monitor usage patterns, performance trends, and solution costs to support stable and efficient production systems. • Partner with cross-functional stakeholders to translate construction and project data into practical AI-enabled workflows and decision-support tools. • Ensure security and governance considerations are embedded throughout solution design, deployment, and ongoing maintenance.
2026-10-06T00:00:00Z

Automation Engineer

Bethlehem, PA
onsite
Permanent / Full Time
100000 - 110000 USD / Yearly
We are looking for an Automation Engineer to drive complex product development efforts from early planning through full production readiness in Bethlehem, Pennsylvania. This role partners with technical and business teams to keep programs on schedule, control project costs, and align deliverables with quality and compliance expectations. The ideal candidate brings strong automation expertise and a practical approach to coordinating work across multiple stakeholders. Responsibilities: • Lead automation-focused product development projects from initial concept through launch using a structured phase-based methodology. • Coordinate engineering, operations, quality, and business partners to keep deliverables aligned with scope, timing, and performance targets. • Build and maintain project plans, monitor milestones, and address risks early to reduce delays and cost overruns. • Support development and execution of automated solutions using tools such as Selenium and PowerShell where appropriate. • Collaborate with continuous integration processes to improve testing efficiency, deployment readiness, and overall workflow reliability. • Translate technical objectives and business needs into actionable project activities that support successful production introduction. • Ensure new solutions satisfy functional expectations as well as applicable regulatory, technical, and organizational standards. • Contribute to data center and operational automation initiatives that strengthen system consistency, scalability, and supportability.
2026-10-07T00:00:00Z

Automation Engineer

Bethlehem, PA
onsite
Permanent / Full Time
90000 - 95000 USD / Yearly
We are looking for an Automation Engineer to support and advance the technical performance of production and facility systems in Bethlehem, Pennsylvania. This role is responsible for maintaining reliable engineering operations across audio, video, IT-connected infrastructure, and site systems while helping improve overall functionality. The ideal candidate brings strong automation expertise and a hands-on approach to equipment support, system optimization, and live production readiness. Responsibilities: • Manage day-to-day technical operations for production and facility infrastructure, ensuring dependable system performance and uptime. • Supervise engineering activities spanning broadcast or production technology, studio environments, integrated IT systems, and building-related technical assets. • Coordinate the configuration and operation of audio and video systems for live events and recorded productions to deliver high-quality output. • Lead the installation, troubleshooting, repair, and preventive maintenance of sound, video, and related control equipment. • Develop and enhance automation solutions that improve workflows, monitoring, and operational efficiency across technical environments. • Support system integration efforts involving data center operations, scripting, and connected production technologies. • Partner with internal stakeholders to maintain compliance with organizational and technical standards across engineering operations.
2026-10-07T00:00:00Z

Identity Management Solutions Engineer

Buda, TX
onsite
Temporary / Contract
75 - 90 USD / Hourly
Identity Management Solutions EngineerOnsite | Buda, TX | Contract Robert Half is hiring an Identity Management Solutions Engineer to support a large-scale technology transformation initiative. This role will focus on identity architecture, access governance, directory services, authentication platforms, and post-acquisition integration activities. Responsibilities: <ul><li>Assess and document current identity and access management environments.</li><li>Design and implement identity integration strategies during M&A activities.</li><li>Manage and optimize Microsoft Entra ID (Azure AD), Active Directory, and related IAM technologies.</li><li>Support SSO, MFA, conditional access, privileged access, and identity governance initiatives.</li><li>Identify security, compliance, and operational risks related to user access.</li><li>Create architecture diagrams, workflows, and technical documentation.</li></ul>
2026-10-01T00:00:00Z

Identity Management Solutions Engineer

Cincinnati, OH
remote
Temporary / Contract
50 - 70 USD / Hourly
We are looking for an Identity Management Solutions Engineer to support complex identity and access initiatives for acquired business environments in Cincinnati, Ohio. This Long-term Contract position focuses on evaluating current identity infrastructures, shaping future-state solutions, and guiding secure migrations into standardized enterprise platforms. The role offers the opportunity to contribute as a senior hands-on engineer while also providing direction to a small domain team when needed. Responsibilities: • Lead identity engineering activities for assigned operating company environments, coordinating priorities, validating technical changes, and helping resolve delivery obstacles for a small team when team leadership is part of the assignment. • Analyze existing identity ecosystems by documenting directories, domains, tenants, authentication models, federation methods, and privileged access structures to support broader integration planning. • Create target-state identity architectures, align designs with program stakeholders, and carry approved solutions through implementation. • Evaluate how identity changes affect connected applications, endpoint environments, service accounts, and other dependent systems so transition activities are sequenced appropriately. • Produce effort estimates, define identity work stages, and communicate dependency timing to support integrated project plans and cutover readiness. • Prepare migration and cutover strategies by identifying technical risks, assessing business impact, and establishing rollback approaches before implementation windows begin. • Lead tenant-to-tenant and directory migration efforts, including identity mapping, coexistence planning, trust configuration, synchronization changes, and transition into the enterprise Microsoft 365 environment. • Configure and maintain Entra ID and hybrid identity services, including single sign-on, enterprise applications, Conditional Access, multifactor authentication, and Entra Connect integrations. • Rework identity integrations for applications and non-human identities by updating federation relationships, claims mappings, provisioning connections, service principals, managed identities, and service accounts using least-privilege principles. • Develop repeatable automation for migration and administration tasks using tools such as PowerShell, Python, Microsoft Graph, cloud APIs, and infrastructure-as-code methods where appropriate.
2026-10-07T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 260000 USD / Yearly
RESPONSIBILITIES: ML Model Deployment & Platform Management • Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints. • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments. • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance. • Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines. Generative AI & LLM Operations • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. • Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance. • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications. • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy. • Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution. Automation & CI/CD Pipelines • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles. • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools. • Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
2026-10-07T00:00:00Z

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. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. 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>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</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>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Machine Learning Engineer

Glendale, AZ
onsite
Temporary / Contract
65 - 70 USD / Hourly
Robert Half is working with a client who is looking to hire a Machine Learning Engineer to help operationalize machine learning models as part of a growing enterprise AI program.This role will sit between Data Science and Engineering and will focus on taking models from experimentation into reliable, scalable production environments.Responsibilities<ul><li>Develop and deploy machine learning models into production.</li><li>Build reusable ML pipelines for training, testing, deployment, and monitoring.</li><li>Partner with Data Scientists to productionize predictive models.</li><li>Develop APIs and services that expose machine learning capabilities to enterprise applications.</li><li>Monitor model performance, drift, and reliability.</li><li>Build automated testing and deployment processes for ML workloads.</li><li>Optimize model performance and infrastructure utilization.</li><li>Work with Data Engineering teams to establish reliable training and inference datasets.</li></ul>
2026-10-06T00:00:00Z

Machine Learning Engineer

Menlo Park, 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. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. 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>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</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>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Artificial Intelligence (AI) Solutions Engineer/ Developer

Phoenix, AZ
onsite
Temporary / Contract
95 - 110 USD / Hourly
Our client is seeking a highly technical and innovative AI Solutions Engineer to design, build, and maintain internal applications, automations, and AI-powered tools that improve operational efficiency across the organization. This is not a traditional product development role. Instead, this individual will focus on solving business challenges through custom software development, workflow automation, system integrations, and practical applications of artificial intelligence.The ideal candidate thrives in fast-paced environments, enjoys transforming ambiguous business needs into working solutions, and is comfortable partnering with both technical and non-technical stakeholders. This position offers the opportunity to work on a wide variety of projects while leveraging modern software development practices, cloud technologies, and AI capabilities to drive operational excellence.Key Responsibilities<ul><li>Design, develop, and support internal applications, dashboards, automation tools, and workflow solutions that enhance business operations.</li><li>Build and integrate AI and Large Language Model (LLM) capabilities into existing processes, including document analysis, classification, workflow routing, content generation, summarization, and reporting.</li><li>Develop and maintain integrations between internal systems and third-party platforms using APIs and web services.</li><li>Rapidly prototype new solutions, gather business feedback, and evolve prototypes into scalable, maintainable production applications.</li><li>Collaborate with cross-functional teams to identify process improvement opportunities and implement technology-driven solutions.</li><li>Ensure applications meet security, privacy, governance, and compliance requirements.</li><li>Create and maintain technical documentation, architecture diagrams, and operational procedures to ensure ongoing supportability and audit readiness.</li><li>Monitor, troubleshoot, and enhance deployed solutions to ensure reliability and performance.</li></ul>
2026-09-24T00:00:00Z

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