<p>Robert Half is working with a client in Lawrenceville, GA looking for an AI Engineer.</p><ul><li>Partner with business stakeholders to identify opportunities where AI can improve workflows, productivity, and decision-making.</li><li>Translate business challenges into scalable AI and automation solutions.</li><li>Design, develop, and implement AI-powered tools and applications.</li><li>Evaluate emerging AI technologies and recommend practical business use cases.</li><li>Work cross-functionally with leaders across finance, operations, human resources, and other business functions.</li><li>Identify repetitive and manual processes that can be automated or enhanced through AI.</li><li>Support the development of an enterprise AI roadmap and project pipeline.</li><li>Create proof-of-concepts, prototypes, and production-ready AI solutions.</li><li>Help establish best practices, governance standards, and AI adoption strategies.</li><li>Drive successful execution from concept through implementation and user adoption.</li></ul>
<p>Robert Half is working with a client in the metro-Atlanta area seeking an AI Engineer.</p><ul><li>Develop LLM-powered and agent-based applications using Claude APIs</li><li>Design and implement MCP-based agents (Model Context Protocol) within AWS environments</li><li>Build prompt workflows, orchestration logic, and autonomous agent behaviors</li><li>Integrate enterprise systems and data sources via APIs</li><li>Optimize AI solutions for token efficiency, cost, and performance</li><li>Develop backend services and utilities to support AI applications</li><li>Collaborate with stakeholders, product teams, and engineers to deliver scalable solutions</li></ul>
We are looking for an AI Engineer to help build and enhance intelligent software solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a senior-level engineer who combines deep .NET and C# expertise with practical experience creating AI-driven applications on the Microsoft ecosystem. In this role, you will partner with technical and business teams to deliver scalable products, improve how intelligent agents operate, and introduce modern AI capabilities into enterprise environments.<br><br>Responsibilities:<br>• Create and support enterprise applications and backend services using .NET and C# with a focus on scalability, reliability, and maintainability.<br>• Develop AI-enabled features and agent-based solutions using Microsoft technologies such as Azure AI services, Azure OpenAI, Cognitive Services, and related platform tools.<br>• Connect intelligent agents with business platforms, APIs, and operational workflows so they can perform useful actions across enterprise systems.<br>• Refine model performance by shaping prompts, structuring contextual inputs, and improving how agents interpret and respond to requests.<br>• Build retrieval-based solution patterns, including vector search and indexing approaches, to strengthen response quality and access to relevant knowledge.<br>• Implement orchestration logic, state handling, memory strategies, and feedback mechanisms that support more effective agent behavior and task execution.<br>• Assess AI outputs and agent performance through testing, validation methods, and continuous optimization to improve accuracy and dependability.<br>• Work closely with product, data, engineering, and DevOps teams while also reviewing code, guiding less-experienced developers, and promoting strong development standards.
<p>Robert Half is working with a client in the metro-Atlanta area seeking an AI Engineer.</p><ul><li>Build and scale AI-powered applications using GPT and LLM technologies</li><li>Design and implement prompt engineering and context strategies</li><li>Develop autonomous AI agents and intelligent workflows</li><li>Build backend services and integrate enterprise data sources</li><li>Work with tools like LangChain / LlamaIndex and vector databases</li><li>Evaluate and improve AI system performance, accuracy, and reliability</li><li>Optimize systems for cost, latency, and scalability</li><li>Deploy, monitor, and troubleshoot production applications</li><li>Collaborate with product and UX teams to deliver user-focused solutions</li><li>Contribute to shared AI tools and platforms used across engineering</li></ul>
<p>Robert Half is working with a client in Lawrenceville, GA who is seeking an AI Engineer.</p><ul><li>Partner with business stakeholders to identify opportunities where AI can improve workflows, productivity, and decision-making.</li><li>Translate business challenges into scalable AI and automation solutions.</li><li>Design, develop, and implement AI-powered tools and applications.</li><li>Evaluate emerging AI technologies and recommend practical business use cases.</li><li>Work cross-functionally with leaders across finance, operations, human resources, and other business functions.</li><li>Identify repetitive and manual processes that can be automated or enhanced through AI.</li><li>Support the development of an enterprise AI roadmap and project pipeline.</li><li>Create proof-of-concepts, prototypes, and production-ready AI solutions.</li><li>Help establish best practices, governance standards, and AI adoption strategies.</li><li>Drive successful execution from concept through implementation and user adoption.</li></ul>
<p>We are seeking an innovative <strong>RCM AI Solutions Engineer</strong> 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. </p><p><strong> </strong></p><p><strong>What You'll Do:</strong></p><p><strong>AI Solutions Development</strong></p><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><p><strong>Revenue Cycle Optimization</strong></p><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><p><strong>Cross-Functional Collaboration</strong></p><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><p><strong>Governance & Compliance</strong></p><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>
<p>A growing organization in the Phoenix area is seeking an experienced <strong>AI/ML Engineer</strong> to design, develop, and deploy machine learning and artificial intelligence solutions that drive business innovation and operational efficiency. This role will work closely with software engineers, data scientists, product teams, and business stakeholders to build scalable AI-powered applications and advanced analytics solutions.</p><p>The ideal candidate combines strong software engineering fundamentals with hands-on experience in machine learning, deep learning, and modern AI technologies, including generative AI and large language models (LLMs).</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, test, and deploy machine learning models and AI-driven applications.</li><li>Build and maintain scalable data pipelines to support model training, evaluation, and production inference.</li><li>Develop predictive analytics, classification, recommendation, forecasting, and natural language processing (NLP) solutions.</li><li>Implement and optimize deep learning models using modern frameworks and cloud-based infrastructure.</li><li>Collaborate with cross-functional teams to identify business opportunities for AI and machine learning applications.</li><li>Monitor model performance, accuracy, and reliability in production environments.</li><li>Apply MLOps best practices for model versioning, deployment automation, monitoring, and governance.</li><li>Develop APIs and microservices to operationalize AI models and integrate them into enterprise applications.</li><li>Work with structured and unstructured datasets to prepare, cleanse, and engineer features for modeling.</li><li>Stay current with emerging technologies and advancements in AI, machine learning, and generative AI.</li></ul>
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.<br><br>Responsibilities:<br>• Partner with business leaders to understand operational pain points and identify where AI can create measurable value.<br>• Translate business needs into solution concepts, technical approaches, and implementable AI initiatives.<br>• Design, develop, test, and deploy AI and machine learning applications that address real-world business problems.<br>• Evaluate repetitive workflows and manual tasks across departments to recommend automation or intelligent assistance opportunities.<br>• Collaborate with teams such as finance, recruiting, and operations to create tools that improve productivity and information flow.<br>• Help establish an internal pipeline of AI initiatives by assessing impact, feasibility, and implementation priorities.<br>• Serve as a bridge between non-technical stakeholders and technical execution by clearly communicating options, risks, and outcomes.<br>• Contribute to the growth of the organization’s AI capability through hands-on development, experimentation, and continuous improvement.
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.<br><br>Responsibilities:<br>• Create, implement, and launch enterprise AI applications using Amazon Web Services and related cloud technologies.<br>• Develop scalable AI infrastructure with services such as Amazon Bedrock, SageMaker, EC2, S3, Lambda, API management tools, orchestration services, and monitoring platforms.<br>• Architect AI environments that prioritize security, resilience, performance, and cost control for enterprise use cases.<br>• Build and support reusable AI capabilities that can be adopted across multiple business applications and future informatics efforts.<br>• Engineer solutions powered by large language models, retrieval-augmented generation, AI agents, and contemporary AI development frameworks.<br>• Deliver intelligent assistants, enterprise and semantic search tools, knowledge management capabilities, and document understanding solutions.<br>• Design AI-driven automation that improves workflows and streamlines day-to-day business operations.<br>• Integrate AI platforms with Microsoft and enterprise technologies, including Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, SharePoint Online, Microsoft Teams, and Microsoft Graph.<br>• Develop APIs and connected services that link AI platforms with scientific applications, cloud ecosystems, and business systems.<br>• Contribute to AI governance, lifecycle management, observability, and the evaluation of emerging technologies while helping define enterprise standards and best practices.
We are looking for an experienced Artificial Intelligence (AI) Engineer to create practical, scalable AI solutions that help improve business performance and streamline operations in Brookfield, Wisconsin. In this role, you will partner with technical teams and business leaders to turn complex challenges into intelligent applications, machine learning systems, and generative AI capabilities. The ideal candidate brings a strong software engineering foundation along with hands-on experience delivering AI solutions in cloud environments.<br><br>Responsibilities:<br>• Build and implement AI, machine learning, and generative AI solutions that address business and operational needs.<br>• Develop intelligent applications such as virtual assistants, chatbot experiences, copilots, and automated workflows.<br>• Train, evaluate, and refine machine learning models to improve performance, reliability, and business impact.<br>• Create and support retrieval-augmented generation solutions and related applications for knowledge-driven use cases.<br>• Work closely with stakeholders to uncover opportunities where AI can enhance processes, decision-making, and user experiences.<br>• Connect AI capabilities with enterprise systems and cloud-based platforms to enable practical adoption at scale.<br>• Establish model deployment and support practices, including monitoring, governance, and lifecycle management.<br>• Apply security, compliance, and responsible AI standards throughout solution design, development, and release.<br>• Research new AI tools and technologies and recommend options that align with organizational goals.<br>• Produce clear technical documentation covering solution architecture, workflows, and implementation details.
<p>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.</p><p><br></p><p>Responsibilities:</p><p>• Lead the full software development lifecycle for AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.</p><p>• Create and refine agentic AI workflows that support business objectives and integrate effectively with application services.</p><p>• 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.</p><p>• Develop and maintain RESTful or GraphQL interfaces that enable dependable communication between applications and services.</p><p>• Contribute to front-end development with React, ensuring smooth interaction between user interfaces and backend functionality.</p><p>• Architect and support microservices-based and distributed systems designed for reliability, flexibility, and growth.</p><p>• Improve overall system efficiency by tuning application performance, refining database access patterns, and managing cloud resource consumption.</p><p>• Apply strong security practices by implementing access control, authentication, and authorization measures across applications.</p><p>• Oversee containerized delivery processes and automated deployment workflows using Docker and CI/CD tools, while diagnosing and resolving production issues in cloud environments.</p><p>• Work closely with product, design, and DevOps partners to deliver maintainable, well-documented solutions that meet project goals.</p>
AI/LLM Engineer / Solutions Architect - no 3rd parties, no C2C - no must be eligible to work in the U.S. - Remote with 2 weeks onsite to onboard We are looking for an Artificial Intelligence (AI) Engineer to lead practical AI development efforts for a manufacturing organization in Lincolnton, North Carolina. This Long-term Contract position will focus on creating production-ready automation tools and intelligent workflows that improve decision-making, streamline operations, and uncover business insights from enterprise data. The role is best suited for someone who can translate complex operational needs into scalable AI solutions while partnering closely with cross-functional teams such as Finance and Sales. <br> Responsibilities: • Design and deploy AI-powered applications that automate recurring operational activities and improve workflow efficiency across the business. • Build intelligent solutions that analyze enterprise and operational data to identify trends, risks, and opportunities that support growth and performance. • Create tools that provide visibility into customer purchasing behavior, inventory conditions, material planning, and seasonal business patterns. • Develop AI-driven capabilities that help teams investigate operational issues, uncover contributing factors, and support faster resolution. • Integrate AI models and services with existing business platforms, data sources, and external systems through APIs and structured pipelines. • Partner with stakeholders in Finance, Sales, and other functional areas to define use cases, prioritize deliverables, and align solutions with business goals. • Establish practical standards for AI implementation, including solution scope, governance, and responsible deployment practices. • Produce market intelligence solutions that monitor external signals such as public-sector funding activity, bid opportunities, and competitor developments. • Participate in early onsite collaboration to understand the manufacturing environment, team workflows, and operational priorities before broader delivery begins.
We are looking for an Artificial Intelligence (AI) Engineer to create practical solutions that improve how teams work, analyze information, and make decisions. This position is based in Jupiter, Florida, and focuses on designing intelligent applications, workflow automations, and data-driven tools that support business and financial operations. You will collaborate with stakeholders across the organization to translate open-ended challenges into reliable, scalable products built with modern engineering and cloud technologies.<br><br>Responsibilities:<br>• Design and develop internal AI-powered applications, dashboards, and automation tools that streamline day-to-day business activities.<br>• Integrate APIs, databases, and core business platforms to reduce manual effort and improve process efficiency.<br>• Create reporting, research, and analytical workflows that use AI capabilities to deliver faster and more useful insights.<br>• Build solutions that assist with investment analysis, portfolio oversight, and broader financial decision support.<br>• Automate recurring deliverables across finance, accounting, and operational reporting functions.<br>• Develop and maintain solutions within Microsoft 365, Azure, GitHub, and related technology environments.<br>• Define engineering best practices by establishing documentation, reusable standards, and repeatable development processes.<br>• Assess existing technology architecture, system integrations, access controls, and security considerations to support reliable implementation.<br>• Partner closely with business users and leadership to understand needs, prioritize opportunities, and deliver functional tools that solve real problems.
We are looking for an AI Architect to lead the design of intelligent, enterprise-grade applications in Edina, Minnesota. This role is ideal for a senior technical expert who pairs strong software architecture skills with practical experience applying AI tools to solve business challenges. You will shape technical strategy, create scalable application frameworks, and guide engineering teams through complex development decisions while remaining hands-on in delivery.<br><br>Responsibilities:<br>• Define architecture patterns and technical standards for AI-enabled applications that support long-term scalability, reliability, and maintainability.<br>• Design and deliver software solutions using Python and related technologies to address complex business and engineering needs.<br>• Evaluate and apply AI-assisted development tools, including agentic coding platforms, to improve engineering effectiveness where they provide clear value.<br>• Translate broad or evolving business objectives into actionable technical plans, system designs, and implementation approaches.<br>• Partner with engineering and business stakeholders to influence platform direction and align architecture decisions with organizational goals.<br>• Support the development of CI/CD pipelines, DevOps practices, and deployment strategies that improve software quality and release efficiency.<br>• Lead architectural decisions involving cloud infrastructure, containerized environments, APIs, and modern application integration patterns.<br>• Mentor developers through technical guidance, design reviews, and hands-on collaboration to strengthen engineering execution.<br>• Ensure solutions are designed with security, operational stability, and sustainability in mind, particularly in structured or regulated environments.
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a AI Architect<strong> (contract).</strong> In this role, you will define and guide the design of next-generation AI-powered platform capabilities. This role will focus on building scalable, production-ready architectures for intelligent systems, working closely with data science, engineering, and platform teams. <strong>This role is onsite in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Define architectural standards and system designs for AI-enabled applications, including orchestration, context management, state handling, tool integration, and reliability frameworks.</li><li>Author technical design documentation, architecture standards, and decision records that guide engineering teams.</li><li>Develop proof-of-concept solutions and prototypes to validate architectural approaches before large-scale implementation.</li><li>Partner with data science and engineering teams to integrate AI capabilities with APIs, event-driven systems, data platforms, and enterprise applications.</li><li>Review and provide guidance on architecture proposals, ensuring scalability, reliability, and alignment with engineering standards.</li><li>Drive cross-functional alignment on technical strategy and architectural decisions.</li><li>Help establish best practices for AI-assisted software development and modern engineering workflows.</li><li>Mentor senior engineers and technical leaders on architecture, distributed systems, and AI application design.</li><li>Communicate technical strategies, trade-offs, risks, and recommendations to executive stakeholders and customer-facing teams.</li></ul>
<p>We're partnering with a growing technology organization in Nashville that is seeking a <strong>Hardware Engineer</strong> to support hardware testing, debugging, and product development efforts. This is an excellent opportunity for an engineer who enjoys hands-on troubleshooting, collaborating across teams, and working closely with R&D and manufacturing to bring products to market.</p><p><br></p><p>What You'll Do</p><ul><li>Set up and maintain hardware testing and debug environments.</li><li>Troubleshoot hardware issues and support root cause analysis efforts.</li><li>Partner with R&D, manufacturing, and vendor teams to resolve technical challenges.</li><li>Perform signal measurements and bring-up testing.</li><li>Utilize lab equipment including oscilloscopes and digital multimeters.</li><li>Support PCB rework, soldering, and hardware validation activities.</li><li>Assist manufacturing teams with debugging and troubleshooting efforts.</li></ul><p><br></p>
<p>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. </p><p> </p><p>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. </p><p><strong>What You’ll Do</strong> </p><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>
<p>We are looking for a skilled Systems/Network Engineer who will play a pivotal part in advancing our infrastructure through automation, ensuring seamless operations and enhanced reliability. You will have the opportunity to work on cutting-edge technologies and contribute to modernizing our systems.</p>
<p>Overview</p><p>Client 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.</p><p>This is a highly specialized search requiring candidates with proven HPC design and implementation experience—not general systems engineers.</p><p><br></p><p>Engagement Details</p><p><br></p><p>Title: HPC Infrastructure Engineer / HPC Solutions Architect</p><p>Location: 100% Onsite, 4540 Fortune Ave NW, Concord, NC 28027</p><p>Duration: 6 month CTH</p><p>Start Date: Targeting September</p><p>Interview Process: 2 Rounds- 30/ 1 hr tech</p><p>Work Authorization: Must be authorized to work without sponsorship constraints</p><p>Industry: Engineering / Simulation / Modeling Environment</p><p><br></p><p><br></p><p>Must-Have Experience</p><p>HPC Infrastructure</p><p><br></p><p>Experience designing, architecting, and implementing enterprise HPC environments</p><p>Strong understanding of HPC compute, storage, networking, and cluster architecture</p><p>Experience optimizing HPC performance, scalability, and workload management</p><p>Ability to recommend and justify infrastructure investments through business cases and ROI discussions</p><p><br></p><p>Dell HPC Environment</p><p><br></p><p>Previous experience supporting or architecting Dell-based HPC environments</p><p>Familiarity with Dell HPC reference architectures and ecosystem</p><p>Experience evaluating or migrating to alternative platforms is highly desirable</p><p><br></p><p>Modeling & Simulation</p><p>Candidates must come from environments supporting engineering simulations and modeling workloads.</p><p>Strong preference for experience with:</p><p><br></p><p>STAR-CCM+</p><p>Abaqus</p><p>Converge CFD</p><p><br></p><p>Candidates with hands-on experience supporting these applications will be prioritized.</p><p><br></p><p>Responsibilities</p><p>Assess current HPC environment and future requirements</p><p>Help develop business case and infrastructure roadmap</p><p>Recommend compute, storage, and networking architecture</p><p>Assist with equipment selection and procurement planning</p><p>Design and optimize HPC clusters</p><p>Improve simulation and modeling performance</p><p>Document architecture recommendations and deployment approach</p><p>Support rollout and knowledge transfer activities</p>
<p>We are seeking a skilled Systems Engineer to support and maintain core infrastructure across virtual server environments, Windows workstations, storage, backup, and disaster recovery systems. This role will be responsible for installing, configuring, and maintaining virtual servers; supporting the Windows desktop environment; and administering SAN storage, replication, backup, and recovery solutions. The ideal candidate will have hands-on experience with VMware, Veeam, SAN storage, and disaster recovery planning and execution.</p><p><br></p><p>Key Responsibilities:</p><ul><li>Install, configure, and maintain virtual servers in a VMware environment</li><li>Support and troubleshoot the Windows workstation environment</li><li>Administer and maintain SAN storage systems</li><li>Manage local and remote data replication processes</li><li>Oversee backup operations and recovery procedures using Veeam</li><li>Monitor system performance, availability, and capacity across infrastructure environments</li><li>Support disaster recovery readiness, testing, and execution</li><li>Troubleshoot server, storage, backup, and workstation issues in a timely manner</li><li>Perform system upgrades, patching, and routine maintenance</li><li>Document infrastructure configurations, procedures, and recovery plans</li><li>Collaborate with IT teams and stakeholders to support business continuity and operational goals</li></ul><p><br></p>
<p>We are looking for an Infrastructure Engineer to support and enhance a complex enterprise technology environment serving the local Minnesota area. This role is ideal for a versatile infrastructure specialist who can work across cloud platforms, virtualization, network services, and core systems operations. The position is fully remote, but candidates must reside in the local metro area and be comfortable managing multi-site infrastructure with a strong focus on reliability, security, and performance.</p><p><br></p><p>Responsibilities:</p><p>• Manage and improve cloud and on-premises infrastructure across enterprise environments, ensuring dependable performance and availability.</p><p>• Administer Microsoft Azure and Microsoft 365 services while supporting broader infrastructure initiatives tied to business and technical needs.</p><p>• Oversee multi-site, multi-forest Active Directory environments, including policy administration and identity-related services.</p><p>• Support virtualization platforms with Nutanix and contribute to the health and scalability of datacenter operations.</p><p>• Coordinate patching, endpoint administration, device management, and infrastructure monitoring to maintain secure and stable systems.</p><p>• Troubleshoot Windows desktop and server issues at multiple levels of complexity and provide effective resolution across the environment.</p><p>• Work with network, cloud, desktop, and server service providers to maintain seamless infrastructure support.</p><p>• Contribute to network operations by supporting routing, firewall administration, and Layer 2/Layer 3 connectivity across locations.</p><p>• Strengthen infrastructure security by implementing and maintaining logging, alerting, and other operational security tools.</p>
We are looking for an AI Consultant to support the design, implementation, and optimization of secure AI solutions in California. This long-term contract position is ideal for someone who can combine hands-on AI development with a strong understanding of cloud security and regulatory expectations. The role focuses on building practical automation capabilities, guiding discovery efforts, and ensuring AI initiatives align with compliance standards throughout delivery.<br><br>Responsibilities:<br>• Lead discovery sessions to assess business needs and identify opportunities for AI-driven solutions and process improvements.<br>• Design, build, and deploy AI applications within AWS environments while maintaining strong cloud security practices.<br>• Create automated workflows, intelligent agents, and validation processes that support testing, acceptance, and audit readiness.<br>• Partner with technical and compliance stakeholders to ensure AI solutions meet applicable regulatory and security requirements.<br>• Translate compliance considerations into scalable technical approaches that can be applied across the AI technology stack.<br>• Evaluate solution designs for alignment with PCI and related control standards before implementation and release.<br>• Document architecture decisions, risk considerations, and operating procedures to support governance and ongoing oversight.
We are looking for an AI Consultant to collaborate with department leadership in Aurora, Colorado and uncover practical ways to apply artificial intelligence across reporting, analytics, and process improvement efforts. This Long-term Contract position focuses on turning business needs into scalable AI-driven solutions that strengthen operational efficiency, improve data quality, and support better decisions. The ideal candidate brings strong expertise in Microsoft Copilot and can guide teams on effective AI workflow automation strategies in a clear, business-friendly manner.<br><br>Responsibilities:<br>• Work closely with departmental leaders to assess current processes and pinpoint where AI can add value in analytics, reporting, and operational workflows.<br>• Create and deliver AI-based solutions that streamline tasks, enhance reporting reliability, and improve overall team productivity.<br>• Advise stakeholders on practical use cases for Microsoft Copilot and related AI tools that align with departmental goals.<br>• Translate business challenges into solution designs that support smarter decision-making and measurable process improvements.<br>• Provide guidance to staff on effective AI workflow automation approaches, including adoption best practices and responsible usage.<br>• Evaluate existing reporting and analytics needs and recommend AI-enabled methods to increase accuracy, speed, and usability.<br>• Support implementation efforts by helping teams integrate AI capabilities into day-to-day operations and business processes.
We are looking for an AI Consultant to join a contract opportunity in New Jersey. This role is ideal for a technically strong educator and advisor who can translate advanced AI concepts into practical learning experiences for engineers, professionals, and business teams. The position combines hands-on instruction, curriculum development, and learner coaching while keeping training programs aligned with current industry applications and emerging digital technologies.<br><br>Responsibilities:<br>• Lead live training sessions covering artificial intelligence, machine learning, generative AI, data science, cloud technologies, cybersecurity, and related technical domains.<br>• Build and facilitate practical labs, workshops, and applied exercises that help learners use modern tools and frameworks in realistic scenarios.<br>• Guide participants through assignments, projects, and capstone work by offering technical mentorship, feedback, and problem-solving support.<br>• Develop and refine instructional materials, lab content, assessments, and program modules to keep learning paths current and effective.<br>• Tailor delivery methods to suit different audience backgrounds, experience levels, and business needs.<br>• Incorporate relevant industry examples, use cases, and market-informed perspectives into training sessions to strengthen real-world application.<br>• Monitor learner performance, review submissions, and provide structured evaluations that support strong completion rates and measurable outcomes.<br>• Partner with internal stakeholders to shape learning programs that reflect evolving client expectations and technology trends.
We are looking for an AI Consultant to support advanced analytics and machine learning initiatives for a Hi Tech Engineering organization in Des Moines, Iowa. This Long-term Contract position will partner closely with business and technical stakeholders to turn complex questions into practical, data-driven solutions while strengthening internal AI and analytics capabilities. The ideal candidate brings strong Python-based analytical expertise and can clearly recommend the most effective modeling, forecasting, or statistical approach for each use case.<br><br>Responsibilities:<br>• Partner with stakeholders to define business objectives and convert them into actionable AI, machine learning, and advanced analytics plans.<br>• Build, review, and refine Python-based analysis using appropriate methods for data preparation, modeling, statistical evaluation, and insight generation.<br>• Examine large and complex datasets to uncover anomalies, trends, outliers, and other meaningful patterns that inform decision-making.<br>• Assess existing analytical and machine learning models, recommend suitable algorithms, and outline practical next steps for improvement.<br>• Evaluate anomaly detection methods and suggest alternative techniques when current approaches do not align with the data or business need.<br>• Advise on forecasting and predictive modeling strategies by selecting methodologies that best fit available data and intended outcomes.<br>• Validate data quality and determine whether datasets are suitable for machine learning, predictive analytics, or traditional analytical methods.<br>• Work alongside the internal data analyst to troubleshoot analytical work, expand team knowledge, and strengthen overall AI and ML capabilities.<br>• Communicate technical findings and methodological recommendations clearly to both technical audiences and non-technical stakeholders, including client-facing discussions.