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79 results for Aiml Engineer jobs

ML OPS AI ENGINEER II

Coppell, TX
onsite
Temporary / Contract
57.4655 - 66.539 USD / Hourly
We are looking for an ML OPS AI Engineer II to support the delivery of machine learning solutions from development through live production in Coppell, Texas. This Long-term Contract opportunity is ideal for a hands-on engineer who can strengthen ML infrastructure, improve deployment reliability, and partner closely with AI teams to operationalize models at scale. The role focuses on building repeatable systems, increasing observability, and ensuring model workflows remain efficient, stable, and cost-conscious across cloud-based environments. Responsibilities: • Lead the end-to-end operationalization of machine learning models, moving solutions from experimentation into dependable production environments. • Develop and support ML infrastructure, automated pipelines, and deployment frameworks that improve reliability and reduce manual effort. • Create and manage containerized workloads using Docker and coordinate production services through Kubernetes. • Establish and maintain CI/CD processes for model training, packaging, testing, and release management. • Implement tools and standards for experiment tracking, feature lineage, and model version control to enable reproducibility. • Build monitoring solutions that surface system health, model behavior, and data drift, helping teams respond quickly to production issues. • Provision and optimize cloud and compute resources to support both training and inference workloads effectively. • Improve scalability, operational visibility, and cost efficiency across deployed AI services. • Partner with data scientists and ML engineers to simplify deployment pathways and align platform capabilities with model development needs.
2026-08-21T00:00:00Z

IAM Engineer

Miami, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking an experienced IAM Engineer to join our technology team in Miami, Florida. This role is focused on Identity & Access Management and will play a key part in advancing a modern Microsoft-based security and endpoint management environment.This is an exciting opportunity for a hands-on engineer who brings strong experience with Microsoft 365, Entra ID, Conditional Access, and Intune, along with a solid foundation in traditional IAM technologies such as Active Directory Services and Single Sign-On. The ideal candidate will also have a systems administration background and experience supporting enterprise-scale Microsoft environments. Key Responsibilities<ul><li>Support and enhance the organization’s Identity & Access Management program across a Microsoft-centric environment</li><li>Administer and optimize Microsoft Entra ID and Microsoft 365 identity solutions</li><li>Design, implement, and manage Conditional Access policies to strengthen security and access governance</li><li>Lead and help build out the organization’s Intune environment for approximately 3,500 devices</li><li>Serve as a project owner for Intune initiatives, partnering with architecture resources and external partners as needed</li><li>Support traditional IAM functions, including Active Directory Services, SSO, access provisioning, and identity lifecycle management</li><li>Assist with systems administration responsibilities as part of the broader IAM team</li><li>Help drive the organization’s transition from on-premises infrastructure toward a stronger cloud-based footprint</li><li>Partner with leadership and team members to mature IAM processes, controls, and technologies</li><li>Provide technical guidance and support to a growing, junior-level team</li></ul>
2026-08-08T00:00:00Z

AI Engineering Lead

Los Angeles, CA
onsite
Permanent / Full Time
225000 - 250000 USD / Yearly
Lead AI Engineer Company OverviewA leading consumer products and eCommerce organization based in Los Angeles, California is transforming the customer experience through innovation, technology, and data-driven decision-making. The company is focused on building scalable digital solutions that support business growth, operational excellence, and exceptional customer engagement. With a collaborative and forward-thinking culture, the organization empowers teams to solve complex challenges through modern technology and continuous innovation. Role SummaryWe are seeking an experienced Lead AI Engineer to drive the strategy, design, development, and deployment of enterprise-scale artificial intelligence solutions. Based in Los Angeles, California, this role will partner closely with business leaders, product teams, and engineering stakeholders to deliver AI-powered applications that create measurable business impact. The ideal candidate combines deep technical expertise with leadership experience and a passion for bringing innovative AI solutions from concept to production. Key Responsibilities<ul><li>Lead the architecture, development, and deployment of scalable AI applications and intelligent workflow solutions.</li><li>Partner with business and technical stakeholders to identify opportunities where AI can improve efficiency, decision-making, and customer experiences.</li><li>Design and implement enterprise-grade AI systems with a focus on reliability, security, scalability, and performance.</li><li>Provide technical leadership, mentorship, and best practices guidance to engineering teams working on AI initiatives.</li><li>Develop integrations between AI platforms, cloud services, APIs, and enterprise business systems.</li><li>Establish standards for model evaluation, monitoring, governance, observability, and cost optimization.</li><li>Build and optimize AI-powered applications utilizing modern language models, retrieval systems, and agent-based architectures.</li><li>Contribute to technical roadmaps, architecture reviews, documentation, testing, deployment, and continuous improvement efforts.</li><li>Promote AI-assisted engineering practices that improve software quality, efficiency, and delivery speed.</li></ul>Additional Details<ul><li>Hybrid work model</li><li>Full-time position</li><li>Opportunity to shape enterprise AI strategy and adoption</li><li>High-visibility role with significant cross-functional collaboration</li><li>Fast-paced, innovative technology environment focused on growth and continuous improvement</li></ul>
2026-08-05T00:00:00Z

AI Platform Engineer

Marysville, OH
onsite
Temporary / Contract
70 - 80 USD / Hourly
We are looking for an Artificial Intelligence (AI) Platform Engineer to support the design, operation, and enhancement of enterprise AI platform capabilities in central OH. This Long-term Contract position will focus on creating dependable services, infrastructure, and automation that help teams build, deploy, and manage AI solutions at scale. The AI Platform Engineer is responsible for building, operating, and continuously improving the core platform capabilities that enable development, deployment, and scaling of AI solutions across our client's enterprise environment. This role focuses on implementing platform services, APIs, and infrastructure that support the AI software development lifecycle, including model integration, orchestration, deployment, and monitoring. Working under architectural guidance, the engineer ensures platform components are reliable, secure, and reusable, enabling application teams to efficiently develop and deploy AI-enabled solutions. The position emphasizes hands-on engineering, cloud platform operations, and automation, ensuring AI workloads execute consistently and efficiently across environments. Through collaboration with platform, data, and application teams, the AI Platform Engineer contributes to improving developer experience, accelerating adoption of AI capabilities, and maintaining stable, scalable platform operations. Responsibilities:• Build and maintain core AI platform services that support model development, integration, deployment, and ongoing operations across enterprise environments.• Develop APIs, reusable components, and infrastructure patterns that enable application teams to deliver AI-enabled solutions more efficiently.• Manage cloud-based platform operations to ensure AI workloads run reliably, securely, and consistently at scale.• Implement automation for provisioning, deployment, monitoring, and support processes to improve platform stability and reduce manual effort.• Collaborate with platform, data, and software engineering teams to align technical solutions with architectural standards and business needs.• Monitor platform health, troubleshoot operational issues, and drive continuous improvements in performance, resilience, and usability.• Support orchestration and lifecycle management of AI services, including deployment workflows, runtime management, and observability.• Contribute to a scalable engineering environment that accelerates enterprise adoption of AI capabilities while maintaining strong operational controls.
2026-08-18T00:00:00Z

AI Deployment Engineer

Pinecrest, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
AI Deployment Engineer We are looking for an AI Deployment Engineer to take machine learning and AI models from prototype to production. This role owns the pipelines, infrastructure, and monitoring that make AI reliable, scalable, and secure in a real environment.Responsibilities<ul><li>Deploy, scale, and monitor machine learning and generative AI models in production</li><li>Build and maintain MLOps pipelines for training, deployment, and versioning</li><li>Containerize and orchestrate workloads using Docker and Kubernetes</li><li>Integrate models and APIs into applications and business workflows</li><li>Optimize model performance, latency, and infrastructure cost</li><li>Implement monitoring, logging, and alerting for deployed models</li><li>Collaborate with data scientists and engineers to productionize solutions</li><li>Apply security and governance standards to AI systems and data</li></ul>
2026-08-24T00:00:00Z

AML Investigator Analyst

Fort Lauderdale, FL
onsite
Permanent / Full Time
80000 - 95000 USD / Yearly
We are looking for an experienced AML Investigator Analyst to join a banking organization in Fort Lauderdale, Florida. In this role, you will review potentially suspicious activity, evaluate customer and transaction data, and build thorough investigative findings that support regulatory compliance. The ideal candidate brings strong financial crime expertise, sound judgment, and the ability to manage complex casework in a fast-moving environment. Responsibilities: • Lead detailed reviews of alerts and investigations involving potential money laundering, fraud, and other illicit financial activity. • Examine transaction history, customer profiles, and account connections to detect unusual behavior and assess potential risk exposure. • Draft comprehensive investigative summaries and prepare Suspicious Activity Reports supported by clear evidence and analysis. • Elevate high-risk matters to appropriate teams in line with established compliance procedures and regulatory expectations. • Record case activity accurately within case management tools to maintain complete and audit-ready documentation. • Partner with compliance, risk, and other internal stakeholders to resolve investigations and contribute to related initiatives. • Provide documentation and case support during regulatory reviews, audit activity, and independent testing exercises. • Identify recurring patterns, emerging risks, and opportunities to strengthen monitoring and investigative processes.
2026-07-24T00:00:00Z

AI and Recommendation Engineer

Oakland, CA
onsite
Permanent / Full Time
250000 - 350000 USD / Yearly
Robert Half is partnering with an innovative healthcare technology organization that is transforming how professionals discover and consume highly specialized educational content. The team is seeking a Senior, Staff or Principal AI Search and Recommendation Engineer to lead the architecture and development of next-generation AI-powered discovery, search, recommendation, and retrieval platforms.This role is ideal for someone who has built intelligent search and recommendation systems at scale and wants to drive both technical strategy and hands-on development.What You'll Do<ul><li>Lead the design and development of AI-powered search, recommendation, and discovery platforms.</li><li>Build LLM-driven user experiences that understand user intent and deliver highly relevant results.</li><li>Develop semantic search, retrieval, ranking, and recommendation pipelines using embeddings, vector databases, and modern retrieval architectures.</li><li>Design and implement Retrieval-Augmented Generation (RAG) solutions, knowledge retrieval systems, and AI-powered assistants.</li><li>Evaluate emerging AI technologies, frameworks, and infrastructure to drive innovation.</li><li>Build scalable cloud-native services supporting high-volume global users.</li><li>Partner with Product, Data Science, and Engineering teams to prototype, test, and launch new AI capabilities.</li><li>Define long-term AI architecture and best practices across the organization</li></ul>
2026-07-31T00:00:00Z

AML Investigator

Raleigh, NC
onsite
Temporary / Contract
25 - 35 USD / Hourly
We are seeking a detail-oriented AML Investigator to conduct Level 1 alert reviews and support financial crimes compliance efforts within a high-volume, production-driven environment. The ideal candidate will have experience in AML, BSA, risk, compliance, or financial crimes and possess strong analytical and investigative skills.This role requires the ability to review large volumes of transaction activity, identify potential risk indicators, exercise sound judgment, and make clear, well-supported decisions. The successful candidate will be comfortable working toward daily production goals while maintaining a high level of accuracy and quality. Key Responsibilities<ul><li>Conduct Level 1 reviews and investigations of transaction monitoring alerts for potentially suspicious activity.</li><li>Analyze customer and transaction information to identify unusual activity, patterns, trends, and potential financial crime risks.</li><li>Complete a high volume of investigations while consistently meeting established daily production and quality metrics.</li><li>Determine whether alerts can be closed or should be escalated for additional investigation based on findings.</li><li>Identify activity that may warrant escalation for potential Suspicious Activity Report (SAR) consideration.</li><li>Conduct research using internal systems, account information, transaction history, and other available resources.</li><li>Apply knowledge of BSA/AML regulations, financial crime typologies, and internal policies and procedures when evaluating alerts.</li><li>Prepare clear, concise, and well-supported investigative case narratives documenting findings and conclusions.</li><li>Maintain accurate and thorough documentation to support investigative decisions and potential regulatory review.</li><li>Escalate complex or higher-risk cases in accordance with established procedures.</li><li>Consistently balance productivity, accuracy, quality, and regulatory requirements in a fast-paced environment.</li><li>Stay current on relevant AML/BSA requirements, internal procedures, and emerging financial crime trends.</li></ul>
2026-08-19T00:00:00Z

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>
2026-08-21T00:00:00Z

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.
2026-08-14T00:00:00Z

Artificial Intelligence (AI) Engineer

Tampa, FL
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Artificial Intelligence (AI) Engineer to join our team in Tampa, Florida. This role offers the opportunity to design and implement innovative AI solutions while collaborating with cross-functional teams to drive impactful results. As a Contract to permanent position, this role provides a pathway to long-term growth and development within our organization. Responsibilities: • Build, train, and refine machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras. • Integrate AI-driven solutions into existing on-premises applications to enhance functionality and performance. • Explore and experiment with large language models (LLMs) and agent-based coding tools to optimize internal automation and analytics workflows. • Process, engineer, and evaluate data from diverse internal sources, including structured and unstructured datasets. • Collaborate with teams across departments to ensure compliance with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) standards. • Partner with analysts, investigators, and IT staff to identify opportunities where AI can provide operational improvements. • Participate in coding reviews and testing processes to ensure high-quality deliverables. • Stay updated on emerging AI technologies and prototype new tools while adhering to data governance standards. • Contribute to the continuous improvement of AI systems and processes by identifying areas for innovation and optimization.
2026-08-19T00:00:00Z

Artificial Intelligence (AI) Engineer

Atlanta, GA
onsite
Temporary / Contract
43.5385 - 55.25 USD / Hourly
We are looking for an Artificial Intelligence (AI) Engineer to create and expand advanced AI solutions that support real-world business applications in Atlanta, Georgia. This position is ideal for a hands-on engineer who can turn emerging AI concepts into reliable production systems, from intelligent workflows to scalable backend services. The role blends applied machine learning, large language model integration, and software engineering to deliver secure, high-performing tools in an enterprise setting. Responsibilities:• Design and develop AI-driven applications that combine machine learning models, large language models, and backend services for production use.• Create prompt frameworks, retrieval approaches, and context-handling strategies that improve the relevance and reliability of AI-generated outputs.• Build intelligent agents and automated workflows that support business processes and interact effectively with enterprise data sources.• Integrate tools such as TensorFlow, vector databases, and orchestration frameworks to support scalable AI and computer vision solutions.• Measure model and system effectiveness by monitoring accuracy, latency, stability, and overall operational performance.• Improve deployed solutions through performance tuning, cost optimization, and troubleshooting across cloud-based environments.• Collaborate with product, engineering, and user experience teams to deliver AI features that align with business goals and user needs.• Contribute reusable components, shared services, and engineering best practices that strengthen the broader AI platform.• Support detection and computer vision use cases where image-based analysis and machine learning capabilities are required.
2026-08-21T00:00:00Z

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.
2026-08-13T00:00:00Z

Artificial Intelligence (AI) Engineer

Lake Forest, IL
onsite
Permanent / Full Time
150000 - 185000 USD / Yearly
We are looking for an experienced AI Program Manager to lead enterprise AI and automation initiatives in Lake Forest, Illinois. This role will shape the direction of a digital workforce program, identify high-impact use cases, and guide solutions from initial evaluation through deployment and ongoing optimization. The position partners closely with business stakeholders and technical teams to expand AI adoption, deliver measurable operational value, and assess emerging technologies that support long-term innovation. Responsibilities:• Direct the enterprise digital workforce program across intake, prioritization, solution governance, implementation oversight, change enablement, and platform support activities.• Partner with business leaders and technical teams to uncover automation and agentic AI opportunities that improve efficiency, reduce costs, and strengthen operational outcomes.• Design end-to-end AI and automation solution approaches using platforms such as Bedrock, Databricks, and other approved enterprise AI environments.• Evaluate the existing automation portfolio and determine whether solutions should be retired, redesigned, or rebuilt to align with modern AI capabilities.• Lead adoption efforts for tools such as Microsoft 365 Copilot and Claude Enterprise by creating enablement strategies, user education plans, and engagement programs.• Establish and grow a network of AI champions across the organization to encourage practical usage, increase confidence, and accelerate business adoption.• Monitor program performance through recurring reporting that tracks participation, outcomes, and business value tied to capacity gains, cost impact, and revenue contribution.• Research developing trends in AI and automation, assess enterprise applicability, and run structured pilots that inform future roadmap decisions.• Guide and mentor AI Solution Analysts by overseeing process assessments and ensuring documentation and design deliverables meet business and audit standards.
2026-08-24T00:00:00Z

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
2026-08-24T00:00:00Z

AI Network Architect

Chicago, IL
onsite
Permanent / Full Time
175000 - 200000 USD / Yearly
We are seeking an experienced Network Architect to design, optimize, and future-proof our enterprise network environment with a strong focus on scalability, security, performance, and readiness for emerging AI-driven technologies. This role requires deep expertise in Cisco architecture, advanced routing and switching, and modern network design principles to support a growing and evolving business. Based on general knowledge. Key Responsibilities<ul><li>Design and lead enterprise network architecture across LAN, WAN, wireless, data center, and cloud-connected environments. Based on general knowledge.</li><li>Develop network strategies that support AI futureproofing, including scalable bandwidth, low-latency design, resilient connectivity, and infrastructure readiness for automation and data-intensive workloads. Based on general knowledge.</li><li>Lead architecture standards, roadmaps, and modernization initiatives across core networking platforms. Based on general knowledge.</li><li>Serve as the subject matter expert for Cisco-based environments, including routing, switching, security, SD-WAN, and wireless technologies. Based on general knowledge.</li><li>Evaluate current network performance, identify gaps, and recommend improvements for capacity, resilience, and operational efficiency. Based on general knowledge.</li><li>Partner with infrastructure, security, cloud, and application teams to ensure integrated and secure network solutions. Based on general knowledge.</li><li>Design high-availability and disaster recovery network solutions to support business continuity. Based on general knowledge.</li><li>Guide implementation teams on best practices, configuration standards, and troubleshooting for complex network initiatives. Based on general knowledge.</li><li>Maintain architecture documentation, diagrams, standards, and technical recommendations for leadership and engineering teams. Based on general knowledge.</li><li>Assess new technologies and vendor solutions that align with long-term network and business strategy. Based on general knowledge.</li></ul>Required Qualifications<ul><li>7+ years of progressive network engineering and architecture experience, including enterprise-level design responsibility. Based on general knowledge.</li><li>Deep hands-on experience with Cisco networking technologies in complex enterprise environments. Based on general knowledge.</li><li>Strong expertise in routing, switching, BGP, OSPF, VLANs, QoS, VPNs, firewalls, wireless, and network segmentation. Based on general knowledge.</li><li>Experience designing highly available, secure, and scalable networks across on-premises and cloud-connected environments. Based on general knowledge.</li><li>Knowledge of network architecture considerations for AI, automation, and future-state digital transformation initiatives. Based on general knowledge.</li><li>Strong understanding of network security principles, access controls, and performance optimization. Based on general knowledge.</li><li>Proven ability to create architectural standards, lead network modernization, and support enterprise growth. Based on general knowledge.</li><li>Excellent communication skills with the ability to present technical strategy to both technical and non-technical stakeholders. Based on general knowledge.</li></ul>
2026-08-24T00:00:00Z

Machine Learning Engineer

Herndon, VA
onsite
Temporary / Contract
70 - 75 USD / Hourly
Machine Learning EngineerPay: $70-75/hr, available solely on W2 BasisConsultant I (Contractor)Work Location: Reston, VA (4x onsite)Engagement Type: 34 Week Contract, Potential for Extension or ConversionPosition OverviewWe are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.Key Responsibilities<ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>
2026-08-17T00:00:00Z

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.
2026-07-29T00:00:00Z

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>
2026-08-19T00:00:00Z

Data & ML Platform Engineer Manager

Inglewood, CA
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
Job TitleManager, Data & Machine Learning Platform Engineer Company OverviewA leading organization in the sports and entertainment industry is redefining the live event and fan engagement experience through data and AI. By leveraging cutting-edge technology and advanced analytics, the organization is building innovative platforms that deliver personalized, seamless experiences for millions of fans. Role SummaryThis Los Angeles-based role is a hands-on opportunity for a Manager, Data & Machine Learning Platform Engineer to design and build end-to-end data and ML systems that power intelligent products across fan engagement, marketing, and operations. Acting as an individual contributor, you will own the full lifecycle of data and machine learning platforms—from data ingestion to real-time model deployment—enabling scalable, production-ready AI solutions. Key Responsibilities<ul><li>Design, build, and maintain scalable data pipelines and ML platform infrastructure for analytics and AI use cases</li><li>Own the end-to-end lifecycle of data and ML systems, including ingestion, transformation, feature engineering, deployment, and monitoring</li><li>Develop and optimize data models and schemas to support both batch and real-time workflows</li><li>Build and manage feature pipelines and enable low-latency access for real-time decisioning systems</li><li>Deploy machine learning models into production via APIs and real-time inference services</li><li>Implement CI/CD pipelines for machine learning workflows, including testing, versioning, and automated deployment</li><li>Establish monitoring systems to track data quality, model performance, and system reliability</li><li>Enable experimentation frameworks such as A/B testing to support data-driven product iteration</li><li>Collaborate cross-functionally with data scientists, product teams, and business stakeholders to deliver impactful AI solutions</li><li>Drive architectural decisions and promote best practices in data engineering and MLOps</li></ul>Compensation & Benefits<ul><li>$180,000 – $200,000</li><li>Comprehensive benefits package including medical, dental, and vision coverage</li><li>401(k) with company contribution</li><li>Annual wellbeing allowance</li><li>Flexible paid time off and parental leave</li><li>Company-paid life and disability insurance</li><li>Mental health and wellness support programs</li><li>Flexible spending accounts and family planning assistance</li></ul>Additional Details<ul><li>Work model: Hybrid (4 days onsite per week)</li><li>Core working hours with flexibility</li><li>Individual contributor role (no direct reports)</li><li>High-impact role contributing to enterprise-wide AI initiatives</li></ul>
2026-08-13T00:00:00Z

AI Product Owner

Memphis, TN
remote
Permanent / Full Time
140000 - 155000 USD / Yearly
Robert Half Talent Solutions, Technology Division, is recruiting on behalf of our client for an AI Product Engineer. This is an exciting opportunity for a hands-on technology professional who combines software engineering expertise with experience building and deploying AI-powered solutions in production environments.The ideal candidate will help design, develop, and operationalize AI-driven products that enhance analytics, automation, and business decision-making capabilities while partnering closely with technical and business stakeholders.Responsibilities<ul><li>Design, build, and deploy AI-enabled products and capabilities using generative AI technologies.</li><li>Partner with Product, Engineering, Analytics, and business stakeholders to translate business requirements into scalable AI solutions.</li><li>Develop conversational AI, intelligent agents, workflow automation, and decision-support capabilities.</li><li>Create and support AI solutions leveraging Azure OpenAI and related technologies.</li><li>Establish best practices around AI development, monitoring, governance, and production readiness.</li><li>Ensure AI products are secure, scalable, maintainable, and aligned with responsible AI principles.</li><li>Help define product success metrics and drive adoption of AI-enabled capabilities.</li></ul>
2026-08-20T00:00:00Z

AI Product Owner

Memphis, TN
onsite
Temporary / Contract
60 - 75 USD / Hourly
On behalf of our specialized client, Robert Half Talent Solutions, Technology Division is seeking an AI Product Owner to lead the strategy, development, and delivery of AI-powered solutions across the organization. This individual will partner with business stakeholders, developers, data teams, and leadership to identify opportunities where AI can improve efficiency, automate processes, and enhance decision-making.Responsibilities<ul><li>Own and prioritize the AI product roadmap and backlog</li><li>Gather business requirements and translate them into user stories and functional requirements</li><li>Partner with developers, data engineers, and business leaders to deliver AI solutions</li><li>Identify opportunities for Generative AI, automation, and process improvement initiatives</li><li>Lead Agile ceremonies, sprint planning, backlog refinement, and product reviews</li><li>Define success metrics and measure business impact of AI initiatives</li><li>Drive user adoption and change management efforts</li><li>Communicate product vision, priorities, and progress to key stakeholders</li></ul>
2026-08-06T00:00:00Z

Senior AI Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
10000 - 120000 USD / Yearly
An Oklahoma City based company is seeking an AI Engineer to help design and deliver AI-powered solutions that proactively solve business challenges and extend the capabilities of our teams. As an AI Engineer, you will help design, build, deploy, and support AI-powered systems that solve real business problems and scale our teams’ capabilities. This includes intelligent agents, copilots, retrieval systems, and machine learning solutions. This is an exciting opportunity for someone who is passionate about artificial intelligence, curious about emerging technologies, and motivated by building solutions that have both operational and environmental impact. Ready to make an impact? Apply today if you are authorized to work in the U.S. Responsibilities<ul><li>Design AI solutions with a strong focus on user needs and business outcomes</li><li>Build and support AI-powered applications, intelligent workflows, and automation solutions</li><li>Contribute to the development of agents, copilots, retrieval systems, and machine learning capabilities</li><li>Integrate internal and external systems into AI workflows and applications</li><li>Write reliable, maintainable, and well-tested code in a CI/CD environment</li><li>Participate in testing, evaluation, monitoring, and continuous improvement of AI systems</li><li>Collaborate with cross-functional teams including software, data, product, and business partners</li><li>Apply software engineering and AI best practices to improve reliability, scalability, and security</li><li>Use Jira to track work items, defects, and project progress</li></ul>
2026-08-03T00:00:00Z

AI Optimization Specialist

San Francisco, CA
remote
Temporary / Contract
85 - 90 USD / Hourly
We are looking for an AI Optimization Specialist to help elevate the performance of AI-driven customer support experiences for a fintech organization. This contract position is fully remote and is focused on using data, conversation analysis, and platform insights to improve customer satisfaction, strengthen retention, and increase successful self-service outcomes. Based in San Francisco, California, this role is ideal for someone who can translate support performance trends into practical recommendations across AI support channels. Responsibilities:• Evaluate AI-supported customer service results by examining satisfaction trends, retention indicators, and resolution performance.• Review support conversations to uncover recurring friction points and identify opportunities to improve automated interactions.• Analyze interaction patterns to lower escalation rates and increase the percentage of issues resolved through self-service.• Use reporting tools, dashboards, and performance metrics to guide AI optimization efforts and recommend measurable enhancements.• Work with high-volume support datasets to assess effectiveness across AI channels and surface actionable insights.• Partner with stakeholders to identify gaps in customer support experiences and prioritize improvements based on observed data.• Apply expertise with Sierra and Decagon to compare performance signals and refine AI support outcomes.• Track trends across customer interactions to highlight opportunities for operational and experience improvements.
2026-08-21T00:00:00Z

API Integration & Agentic AI Engineer - (MuleSoft)

Bellevue, WA
onsite
Temporary to Hire
70 - 80 USD / Hourly
Robert Half is seeking a MuleSoft Developer to support a high-impact integration environment in support of an automobile services client based in Bellevue, WA. This role will focus on strengthening API architecture, integration discipline, security, and overall MuleSoft maturity while helping position the organization for future Agentic AI initiatives. Duration: 6 month contract with the potential to convert Location: 100% Remote, client is based in Bellevue. Schedule: Monday - Friday Core Business Hours Responsibilities<ul><li>Design, develop, and support enterprise integrations using MuleSoft and Anypoint Platform.</li><li>Build and maintain REST and SOAP APIs supporting system-to-system integrations.</li><li>Develop event-driven integrations and help transition the organization toward more scalable, event-based architecture.</li><li>Leverage Microsoft Azure services to support integration, API, and cloud-based solutions.</li><li>Implement secure integrations using OAuth, Azure security services, and Azure Key Vault.</li><li>Help establish stronger API development standards, governance, architecture, and engineering discipline across the MuleSoft environment.</li><li>Collaborate with architects, engineers, product owners, and business stakeholders to define integration solutions and technical requirements.</li><li>Participate in weekly Agile sprints, including sprint planning, backlog refinement, burn-downs, and delivery activities.</li><li>Troubleshoot integration issues and provide Level 2/3 technical support for production systems.</li><li>Contribute to the evolution of MuleSoft capabilities supporting future Agentic AI and intelligent workflow initiatives.</li><li>Help integrate MuleSoft with SaaS platforms and emerging technologies as the organization continues to modernize its application ecosystem.</li></ul>
2026-08-20T00:00:00Z