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100 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.
2026-09-02T00:00:00Z

AI Engineer

Coppell, TX
onsite
Temporary / Contract
70 - 75 USD / Hourly
Seeking an AI Engineer to design, implement, and optimize AI-powered solutions that improve business processes, knowledge management, and operational efficiency. This role will work closely with technical and business teams to develop generative AI applications, build retrieval-based solutions, establish AI best practices, and ensure secure and compliant use of AI technologies. POSITION TITLE: AI EngineerLOCATION: Coppell, TX (Onsite 5 days)DURATION: 6-12 MonthsSALARY: $65-70/hour RESPONSIBILITIES<ul><li>Design, develop, and optimize AI-powered applications and workflows using Large Language Models (LLMs) and generative AI technologies.</li><li>Build and maintain prompt libraries, prompt evaluation frameworks, and best practices to improve AI accuracy, consistency, and user adoption.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions that connect AI platforms to enterprise systems, databases, and document repositories.</li><li>Partner with business stakeholders to identify use cases and implement AI solutions that drive process improvements and operational efficiencies.</li><li>Establish AI governance, security controls, testing procedures, and compliance standards for production deployments.</li></ul>
2026-09-01T00:00:00Z

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 Software Engineer

Nashville, TN
onsite
Temporary / Contract
78.5 - 87 USD / Hourly
Robert Half is seeking an innovative AI Software Engineer to join our client's technology team. In this role, you will design, develop, and deploy AI-powered applications and services that leverage machine learning, large language models (LLMs), and modern cloud technologies. The ideal candidate combines strong software engineering fundamentals with hands-on experience building and integrating AI solutions into production environments.This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences. Key Responsibilities<ul><li>AI Application Development: Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li>LLM Integration: Develop solutions utilizing large language models (OpenAI, Anthropic, Gemini, Llama, etc.) through APIs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.</li><li>Machine Learning Solutions: Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li>Software Engineering: Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li>Data Processing: Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li>Cloud Deployment: Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li>Model Optimization: Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li>Collaboration: Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li>Documentation: Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li>Research & Innovation: Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul>
2026-09-01T00:00:00Z

AI Solution Engineer

Nashville, TN
onsite
Permanent / Full Time
130000 - 155000 USD / Yearly
We are seeking an innovative RCM AI Solutions Engineer to lead the development and implementation of AI-powered solutions that transform revenue cycle operations. This individual will identify automation opportunities, design intelligent workflows, and deploy AI-driven tools that improve efficiency, accuracy, and decision-making across the revenue cycle lifecycle. What You'll Do:AI Solutions Development<ul><li>Design, build, test, and deploy AI-powered tools, agents, and workflows.</li><li>Develop custom prompts and automation solutions that streamline operational processes.</li><li>Integrate AI solutions with healthcare and business systems.</li><li>Evaluate new AI capabilities and recommend innovative applications. </li></ul>Revenue Cycle Optimization<ul><li>Identify opportunities to automate manual tasks and reduce administrative burden.</li><li>Improve workflows related to: </li><li>Prior Authorizations</li><li>Denial Management</li><li>Claims Follow-Up</li><li>Eligibility & Benefits Verification</li><li>Revenue Cycle Operations</li><li>Measure and monitor performance improvements resulting from AI adoption. </li></ul>Cross-Functional Collaboration<ul><li>Partner with operational, technology, compliance, finance, and clinical teams to deliver effective solutions.</li><li>Serve as a subject matter expert on AI tools and best practices.</li><li>Train end users and support organizational adoption of AI-powered workflows. </li></ul>Governance & Compliance<ul><li>Ensure adherence to healthcare regulatory requirements, privacy standards, and responsible AI practices.</li><li>Implement monitoring, quality assurance, and governance processes for AI solutions.</li><li>Maintain documentation and support ongoing optimization efforts. </li></ul>
2026-09-09T00:00:00Z

AI Implementation Specialist

Dallas, TX
onsite
Temporary / Contract
45 - 55 USD / Hourly
SUMMARYWe are seeking an AI Implementation Specialist to help deploy and support business-focused artificial intelligence solutions. This role will work with stakeholders to identify use cases, implement AI tools, optimize workflows, and drive user adoption across the organization. POSITION TITLE: AI Implementation Specialist LOCATION: Dallas, TX (Hybrid) SALARY: $90,000 - $110,000 RESPONSIBILITIES<ul><li>Implement AI solutions to improve business processes, productivity, and operational efficiency.</li><li>Configure and support AI platforms, chatbots, automation tools, and generative AI applications.</li><li>Gather business requirements and translate them into practical AI use cases.</li><li>Train end users and departments on AI tools, best practices, and adoption strategies.</li><li>Monitor AI performance, usage metrics, and opportunities for process improvement.</li></ul>
2026-09-09T00:00:00Z

AML Investigator

Cleveland, OH
onsite
Temporary / Contract
30 - 35 USD / Hourly
We are looking for a diligent AML/KYC Investigator to join a Contract position supporting financial crime compliance activities in Cleveland, Ohio. This opportunity is well suited for someone who can assess alerts with sound judgment, interpret risk indicators, and produce clear investigative documentation. The role focuses on frontline review work, helping identify unusual activity and supporting timely escalation decisions within a regulated environment. Responsibilities:• Conduct initial reviews of transaction and customer alerts to identify unusual patterns or potential financial crime concerns.• Evaluate available information, apply risk-based thinking, and decide when matters should be advanced for deeper investigation.• Support the identification of cases that may warrant suspicious activity reporting by gathering relevant facts and summarizing findings.• Examine account activity, customer data, and related records to develop accurate and well-supported investigative conclusions.• Prepare concise, organized case notes and maintain documentation that meets internal compliance standards and regulatory expectations.• Perform research using available systems and data sources to strengthen alert disposition and investigative outcomes.• Work in alignment with AML, KYC, and broader compliance requirements while following established review procedures.• Contribute to fraud and financial crime detection efforts by recognizing red flags tied to credit card misuse, suspicious behavior, and other risk indicators.
2026-08-27T00:00:00Z

AML Investigator

San Ramon, CA
onsite
Temporary / Contract
23.75 - 27.5 USD / Hourly
We are looking for a detail-oriented AML Investigator to support compliance operations for a long-term contract opportunity based in San Ramon, California. This onsite position requires working from the office five days per week and is well suited for professionals with early-career investigative experience in anti-money laundering and customer due diligence. The individual in this role will review potentially suspicious activity, document findings clearly, and help uphold regulatory standards across AML and KYC processes. A monthly performance-based bonus is available based on productivity. Responsibilities: • Conduct investigations into alerts, transactions, and customer activity to identify unusual patterns and potential financial crime risks. • Review account records and supporting documentation to assess whether activity aligns with AML, KYC, and BSA expectations. • Prepare clear, accurate case summaries that document research steps, findings, and recommended actions for compliance review. • Analyze data in Excel, including the use of formulas, to organize information and support investigative decisions. • Escalate high-risk matters when warranted and coordinate with internal compliance stakeholders to ensure timely resolution. • Maintain thorough and audit-ready records while following established procedures, regulatory guidelines, and internal controls. • Monitor productivity and case quality targets while managing an active investigation pipeline in a fast-paced environment.
2026-09-14T00:00:00Z

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>
2026-09-01T00:00:00Z

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

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

Artificial Intelligence (AI) Engineer

Houston, TX
remote
Temporary to Hire
47.5 - 55 USD / Hourly
We are looking for an Artificial Intelligence (AI) Engineer to join a fast-paced team and help shape intelligent, scalable solutions that support healthcare technology initiatives. This contract position with potential for a permanent role is ideal for someone who combines strong software and data engineering fundamentals with a genuine interest in applied AI, automation, and modern cloud platforms. In this role, you will contribute to building robust data products, intelligent workflows, and AI-enabled services that improve operational insight and decision-making across the healthcare lifecycle. Responsibilities: • Design and implement scalable data workflows and system integrations using Azure-based services to support enterprise healthcare applications. • Partner with technical and business teams to uncover opportunities where AI-driven automation can streamline processes and improve outcomes. • Build and enhance autonomous or semi-autonomous agent capabilities that interact with data platforms, observe system behavior, and surface actionable insights. • Develop and maintain cloud-based analytics and data warehousing solutions using tools such as Azure Synapse, Data Lake, and Power BI. • Apply machine learning and AI methods to strengthen data processing, classification, detection, and operational decision support. • Ensure engineering solutions align with security, compliance, and deployment standards required for regulated healthcare environments. • Contribute to API development, platform reliability, and performance optimization across data and application ecosystems. • Participate in Agile team activities, share technical recommendations, and help advance engineering best practices through continuous improvement.
2026-09-14T00:00:00Z

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
2026-09-02T00:00:00Z

Automation Engineer

Trumbauersville, PA
onsite
Permanent / Full Time
150000 - 155000 USD / Yearly
We are looking for an Automation Engineer to support engineering leadership and drive operational excellence in Trumbauersville, Pennsylvania. This position focuses on guiding cross-functional engineering efforts, strengthening manufacturing processes, and ensuring projects move forward with technical rigor and clear communication. The ideal candidate brings strong experience in automated manufacturing environments and can align engineering priorities with production, quality, and customer expectations. Responsibilities: • Guide and develop manufacturing engineering staff, process specialists, and technical team members across product and process initiatives from concept through implementation. • Hold regular coaching discussions to support employee development, address technical roadblocks, and strengthen overall team performance. • Act as the key connection between engineering and partner departments by clearly communicating technical capabilities, limitations, and project needs. • Evaluate process flows, production methods, tooling concepts, machine programming, validation strategies, and system-level engineering plans to ensure quality and feasibility. • Coordinate with operations, quality, supply chain, sales, and customers to align schedules, manage competing priorities, and maintain project momentum. • Address team and cross-functional challenges with a balanced approach that supports collaboration, accountability, and timely execution. • Foster a high-performance engineering culture by setting expectations, encouraging continuous improvement, and reinforcing ownership of results. • Support automation and manufacturing initiatives that improve efficiency, consistency, and overall production capability.
2026-08-31T00:00:00Z

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

AI Software Developer

El Segundo, CA
remote
Permanent / Full Time
110000 - 145000 USD / Yearly
We are seeking an AI Software Developer to help drive the next generation of AI-enabled business operations. This role is ideal for a developer or early-career AI engineer who enjoys solving real business problems, building practical solutions, and working directly with end users to improve how work gets done.This role serves as the hands-on implementation partner for AI initiatives across the organization. You'll work closely with business teams to understand their workflows, identify inefficiencies, design AI-enhanced processes, and build solutions ranging from prompt libraries and automations to lightweight applications and integrations. This is a highly visible role that combines software development, workflow engineering, AI enablement, and business process optimization. This position is fully remote within the United States with occasional travel for team meetings and planning sessions. As an AI Software Developer, you will embed with business teams to understand how work actually happens and identify opportunities where AI can create meaningful improvements. You'll help transform manual, repetitive, and high-friction processes into efficient AI-enabled workflows while maintaining appropriate human review and oversight. This is not a traditional software development role focused solely on feature delivery. Success requires technical expertise, curiosity, strong communication skills, and the ability to translate business challenges into scalable AI-powered solutions. You will partner with employees across operations, customer-facing teams, and technology functions to build solutions that deliver measurable productivity gains and operational improvements. For immediate consideration, apply now and direct message Reid Gormly on LinkedIN
2026-09-14T00:00:00Z

Machine Learning Engineer

Herndon, VA
remote
Temporary / Contract
70 - 75 USD / Hourly
Machine Learning EngineerPay: $70-75/hr, available solely on W2 BasisConsultant I (Contractor)Work Location: RemoteEngagement 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>
2026-09-03T00:00:00Z

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.
2026-09-02T00:00:00Z

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

Integration Services Engineer

Fort Washington, PA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an Integration Services Engineer to support the design, stability, and ongoing improvement of enterprise data integration solutions in Fort Washington, Pennsylvania. This Long-term Contract position is ideal for someone who is detail oriented and can combine technical expertise with strong coordination skills to keep critical database and integration operations running efficiently. The role will contribute to secure, scalable, and well-governed systems while partnering with cross-functional teams to resolve issues, enhance performance, and promote sound engineering practices. Responsibilities: • Design and maintain integration workflows and database solutions that support reliable data movement across business systems. • Monitor system performance and operational health, identifying issues early and taking corrective action to minimize disruption. • Troubleshoot integration failures, database concerns, and related technical problems to restore service and improve long-term stability. • Implement automation where appropriate to streamline recurring operational tasks and increase overall efficiency. • Collaborate with engineering, operations, and business stakeholders to plan priorities and deliver solutions aligned with project goals. • Apply security, compliance, and auditing standards to integration and database environments to support governance requirements. • Contribute to technical design decisions, including component evaluation, framework usage, and adherence to established best practices. • Support quality assurance efforts by validating integration functionality, reviewing outcomes, and helping ensure dependable production releases.
2026-09-08T00:00:00Z

Platform Integration Engineer

Memphis, TN
onsite
Temporary / Contract
50 - 60 USD / Hourly
Robert Half's Technology division is seeking a Platform Integration Engineer on behalf of our Memphis-area client.Hybrid role - Contract to HireAre you the type of engineer who enjoys connecting systems, eliminating manual processes, and building solutions that make an entire business run more efficiently?We're looking for a Platform Integration Engineer to help drive enterprise modernization initiatives across ERP, eCommerce, supply chain, HR, and data platforms. You'll play a key role in replacing legacy integrations with scalable APIs, reusable services, and modern cloud-based solutions.This is an opportunity to influence architecture decisions, work across multiple enterprise platforms, and help shape the future of integration strategy for a growing organization.What You'll Do:<ul><li>Design and develop integrations between critical enterprise applications</li><li>Build and maintain REST APIs and reusable integration services</li><li>Modernize legacy file-based processes with scalable API-driven solutions</li><li>Develop data pipelines supporting reporting, analytics, and business operations</li><li>Define integration standards, monitoring practices, and documentation</li><li>Partner with technical and business stakeholders to solve complex operational challenges</li></ul>
2026-09-09T00:00:00Z

AI Engineer (AI Data Privacy, Security & Governance)

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
obert Half is seeking a Software Engineer II – AI Engineer to analyze, design, program, debug, test, implement, and support the privacy, security, and governance controls that protect generative AI technologies. This role safeguards GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, plugins, skills, and autonomous agents, by embedding data protection, security guardrails, and responsible AI governance across the development lifecycle. This role supports SDLC documentation across all phases, with a focus on data privacy, security guardrails, governance, compliance, and risk management. It also works with users to define requirements and support applications in production. What You’ll Do <ul><li>Design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization. </li><li>Build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering. </li><li>Establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management. </li><li>Review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks. </li><li>Define and enforce access controls, authentication, and least-privilege permissions for AI components. </li><li>Implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval. </li><li>Apply data classification, retention, and residency policies across GenAI data flows. </li><li>Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior. </li><li>Maintain audit trails and logging for plugin, skill, and agent activity. </li><li>Support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act. </li><li>Provide Level II production support for security, privacy, and governance incidents. </li><li>Support incident response, including containment, escalation, and remediation. </li></ul>
2026-08-18T00:00:00Z

Infrastructure Engineer

Concord, NC
onsite
Temporary / Contract
77.5865 - 89.837 USD / Hourly
OverviewClient is seeking a High Performance Computing (HPC) Engineer with deep experience designing, building, and optimizing HPC environments. This individual will play a key role in evaluating the current environment, helping build the business case for future-state architecture, ordering and planning equipment, and supporting HPC infrastructure modernization efforts.This is a highly specialized search requiring candidates with proven HPC design and implementation experience—not general systems engineers. Engagement Details Title: HPC Infrastructure Engineer / HPC Solutions ArchitectLocation: 100% Onsite, 4540 Fortune Ave NW, Concord, NC 28027Duration: 6 month CTHStart Date: Targeting SeptemberInterview Process: 2 Rounds- 30/ 1 hr techWork Authorization: Must be authorized to work without sponsorship constraintsIndustry: Engineering / Simulation / Modeling Environment Must-Have ExperienceHPC Infrastructure Experience designing, architecting, and implementing enterprise HPC environmentsStrong understanding of HPC compute, storage, networking, and cluster architectureExperience optimizing HPC performance, scalability, and workload managementAbility to recommend and justify infrastructure investments through business cases and ROI discussions Dell HPC Environment Previous experience supporting or architecting Dell-based HPC environmentsFamiliarity with Dell HPC reference architectures and ecosystemExperience evaluating or migrating to alternative platforms is highly desirable Modeling & SimulationCandidates must come from environments supporting engineering simulations and modeling workloads.Strong preference for experience with: STAR-CCM+AbaqusConverge CFD Candidates with hands-on experience supporting these applications will be prioritized. ResponsibilitiesAssess current HPC environment and future requirementsHelp develop business case and infrastructure roadmapRecommend compute, storage, and networking architectureAssist with equipment selection and procurement planningDesign and optimize HPC clustersImprove simulation and modeling performanceDocument architecture recommendations and deployment approachSupport rollout and knowledge transfer activities
2026-09-08T00:00:00Z