<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>We are seeking an AI Engineer to design, develop, and deploy AI-powered applications that solve real business challenges. This role will work closely with software engineering, data, and business teams to build scalable solutions leveraging Generative AI, Large Language Models (LLMs), machine learning, and cloud platforms.</p><p>Responsibilities</p><ul><li>Design and develop AI-powered applications and services.</li><li>Build and optimize prompts, RAG pipelines, and AI workflows.</li><li>Integrate OpenAI, Azure OpenAI, and other LLM platforms into enterprise applications.</li><li>Develop APIs and microservices that support AI solutions.</li><li>Collaborate with data engineers and software developers to deploy AI models into production.</li><li>Monitor model performance and improve accuracy, reliability, and scalability.</li><li>Implement AI security, governance, and responsible AI practices.</li><li>Document technical designs and best practices.</li></ul><p><br></p>
<p>We are looking for an AI Engineer to serve as a force multiplier for the client’s engineering organization. The role is part of an initiative to design, build, and scale AI-powered engineering workflows that dramatically increase developer productivity and accelerate software delivery. The client’s team is actively supporting a complex legacy-to-Python migration while maintaining multiple customer-facing applications. This role will be responsible for leveraging AI technologies to automate and optimize every phase of the Software Development Life Cycle (SDLC), including requirements analysis, code generation, testing, defect investigation, and release processes.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement AI-powered workflows that automate software engineering processes across the SDLC.</p><p>· Build and orchestrate multi-step AI agent frameworks for code analysis, generation, validation, testing, and feedback loops.</p><p>· Develop reusable AI tooling, agent templates, and engineering playbooks adopted across multiple teams.</p><p>· Create automated testing solutions, regression frameworks, and validation mechanisms using AI-assisted approaches.</p><p>· Enhance CI/CD pipelines and DevOps processes through intelligent automation and release optimization.</p><p>· Support large-scale legacy application modernization and business rule extraction initiatives.</p><p>· Build Python-based automation tools for data processing, workflow orchestration, and engineering productivity.</p><p>· Partner with developers, architects, and engineering leadership to identify and eliminate delivery bottlenecks.</p><p>· Evaluate and implement emerging AI technologies that improve software development efficiency and quality.</p>
<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>
<ul><li>Design, develop, test, and deploy AI-powered applications and services.</li><li>Build and optimize LLM and generative AI solutions using Azure OpenAI and related platforms.</li><li>Develop RAG architectures that connect LLMs to enterprise documents, databases, APIs, and other data sources.</li><li>Design and implement vector search, embeddings, semantic search, and knowledge retrieval capabilities.</li><li>Develop AI workflows using frameworks such as Semantic Kernel, LangChain, LangGraph, or Microsoft Copilot Studio.</li><li>Integrate AI solutions with existing enterprise applications, APIs, databases, and data platforms.</li><li>Develop production-quality services using Python and/or .NET/C#.</li><li>Work with Azure services including Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Functions, Azure Storage, and related cloud services.</li><li>Build data pipelines and preprocessing workflows to prepare enterprise information for AI applications.</li><li>Evaluate LLM performance, accuracy, relevance, latency, and cost.</li><li>Implement techniques such as prompt engineering, grounding, retrieval optimization, evaluation, and guardrails.</li><li>Partner with data engineers, software engineers, architects, and business stakeholders to move AI initiatives from proof-of-concept to production.</li><li>Establish appropriate practices for security, responsible AI, data privacy, and governance.</li><li>Troubleshoot and optimize AI applications in production environments.</li><li>Stay current with emerging AI technologies, models, frameworks, and development practices.</li></ul><p><br></p>
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>
We are looking for an Automation Engineer to drive complex product development efforts from early planning through full production readiness in Bethlehem, Pennsylvania. This role partners with technical and business teams to keep programs on schedule, control project costs, and align deliverables with quality and compliance expectations. The ideal candidate brings strong automation expertise and a practical approach to coordinating work across multiple stakeholders.<br><br>Responsibilities:<br>• Lead automation-focused product development projects from initial concept through launch using a structured phase-based methodology.<br>• Coordinate engineering, operations, quality, and business partners to keep deliverables aligned with scope, timing, and performance targets.<br>• Build and maintain project plans, monitor milestones, and address risks early to reduce delays and cost overruns.<br>• Support development and execution of automated solutions using tools such as Selenium and PowerShell where appropriate.<br>• Collaborate with continuous integration processes to improve testing efficiency, deployment readiness, and overall workflow reliability.<br>• Translate technical objectives and business needs into actionable project activities that support successful production introduction.<br>• Ensure new solutions satisfy functional expectations as well as applicable regulatory, technical, and organizational standards.<br>• Contribute to data center and operational automation initiatives that strengthen system consistency, scalability, and supportability.
We are looking for an Automation Engineer to support and advance the technical performance of production and facility systems in Bethlehem, Pennsylvania. This role is responsible for maintaining reliable engineering operations across audio, video, IT-connected infrastructure, and site systems while helping improve overall functionality. The ideal candidate brings strong automation expertise and a hands-on approach to equipment support, system optimization, and live production readiness.<br><br>Responsibilities:<br>• Manage day-to-day technical operations for production and facility infrastructure, ensuring dependable system performance and uptime.<br>• Supervise engineering activities spanning broadcast or production technology, studio environments, integrated IT systems, and building-related technical assets.<br>• Coordinate the configuration and operation of audio and video systems for live events and recorded productions to deliver high-quality output.<br>• Lead the installation, troubleshooting, repair, and preventive maintenance of sound, video, and related control equipment.<br>• Develop and enhance automation solutions that improve workflows, monitoring, and operational efficiency across technical environments.<br>• Support system integration efforts involving data center operations, scripting, and connected production technologies.<br>• Partner with internal stakeholders to maintain compliance with organizational and technical standards across engineering operations.
We are looking for an IT Engineer to support and enhance enterprise infrastructure across San Antonio, Texas. This role focuses on maintaining reliable systems, strengthening identity and network services, and contributing technical expertise to infrastructure and security initiatives. The ideal candidate brings hands-on experience across Microsoft platforms, cloud services, virtualization, backup technologies, and enterprise networking environments.<br><br>Responsibilities:<br>• Oversee the health, upkeep, and rollout of core infrastructure components, including servers, network hardware, and related enterprise systems.<br>• Manage Microsoft identity and access platforms by administering, deploying, and resolving issues across Active Directory, Entra ID, and associated services.<br>• Implement and support infrastructure solutions across cloud, on-premises, and endpoint environments while ensuring stable day-to-day operations.<br>• Partner with security team members to complete infrastructure-related security work and help maintain a resilient technical environment.<br>• Collaborate with internal and external solution delivery teams when advanced infrastructure expertise is needed for project execution.<br>• Advise infrastructure leadership on emerging tools, operational improvements, and technical opportunities that can benefit the business.<br>• Coordinate with IT business stakeholders to clarify expectations and communicate changes that may affect users or operations.<br>• Serve as a senior escalation resource for complex incidents and technical problems that require advanced troubleshooting beyond the service desk.<br>• Support network and operational technology environments, including work involving enterprise switching, wireless platforms, firewalls, and industrial systems where applicable.
We are looking for an Artificial Intelligence (AI) Engineer to create and scale advanced generative AI solutions for a highly regulated financial services setting in Jacksonville, Florida. This position is ideal for a hands-on engineer who can turn concepts into dependable production applications while balancing speed, quality, and security. You will work across AI architecture, application development, and cloud deployment to deliver intelligent capabilities that support enterprise business goals.<br><br>Responsibilities:<br>• Design and implement generative AI applications and agent-based workflows that solve complex business challenges in a financial services environment.<br>• Build end-to-end AI capabilities, including solution design, development, testing, deployment, and ongoing performance monitoring.<br>• Connect large language models to enterprise products and operational processes to deliver practical, production-ready functionality.<br>• Develop and maintain data preparation workflows such as document chunking, embedding generation, indexing, and vector search optimization.<br>• Configure and manage cloud infrastructure using Terraform to support scalable, resilient, and secure AI services.<br>• Engineer robust backend components and enterprise applications using C# and the Microsoft technology stack.<br>• Collaborate with technical and business stakeholders to define requirements, prioritize deliverables, and drive high-quality execution.<br>• Ensure AI systems meet expectations for reliability, governance, data protection, and compliance within a regulated industry.<br>• Continuously refine models, pipelines, and application performance to improve accuracy, efficiency, and operational stability.
<p>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.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p><br></p><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><p><br></p>
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.
<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><strong>Software Engineer, AI</strong></p><p><br></p><p><strong>Company Overview</strong> </p><p>A growing organization is seeking an AI Engineer to develop automation, data, and AI-driven solutions that improve business processes and operational efficiency. This role offers the opportunity to work on innovative projects while helping shape the organization's use of emerging technologies.</p><p><br></p><p><strong>Role Summary</strong> </p><p>The AI Engineer will design, build, and support AI-powered applications, automation solutions, and data-driven workflows. The ideal candidate combines strong software engineering skills with experience delivering practical AI solutions in a business environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and support AI-enabled applications and automation solutions.</li><li>Partner with business and technical teams to identify opportunities for process improvement.</li><li>Build integrations between AI solutions, data sources, and business applications.</li><li>Monitor solution performance and continuously improve reliability and effectiveness.</li><li>Develop and maintain technical documentation and best practices.</li><li>Support the evaluation and adoption of emerging AI technologies.</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>*Email brendan.steele@rht(.com) for consideration*</p><p><br></p><p>Robert Half (Technology Solutions) is searching for an Infrastructure Engineer with experience in M365, Entra ID, Intune, Cloud Networking (AWS/Azure), Endpoint Security (Proofpoint, Sophos, Purview), ITSM (ManageEngine), security frameworks (NIST, ISO, CIS), etc. If this sounds like your background, then this Infrastructure Engineer role is for you. For this opportunity, you will work hybrid remote in Ventura, CA area.</p><p><br></p><p><strong>Positions</strong>: Infrastructure Engineer</p><p><strong>Hours/Duration</strong>: 40 hrs/wk, M-F, PST Hours, CTH/FTE (3-6 Months to Convert)</p><p><strong>Top Skills</strong>: M365, Entra ID, Intune, Cloud Networking (AWS/Azure), Endpoint Security (Proofpoint, Sophos, Purview), ITSM (ManageEngine), security frameworks (NIST, ISO, CIS)</p><p><strong>Onsite/Remote</strong>: <em>Hybrid Remote</em></p><p><strong>Company:</strong> Credit Union</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Oversee day-to-day administration of core Microsoft infrastructure, ensuring stable performance across a multi-location user environment.</p><p>• Manage and support key enterprise technologies such as Microsoft Defender, SharePoint, Intune, Entra ID, ManageEngine, and Proofpoint.</p><p>• Provide hands-on support for server, directory, and identity services, including maintenance of Windows Server and Active Directory platforms.</p><p>• Administer firewall configurations and deliver general network support to maintain connectivity, security, and operational continuity.</p><p>• Collaborate with external technology partners to coordinate support activities, resolve infrastructure issues, and improve service delivery.</p><p>• Monitor system health, troubleshoot technical problems, and implement corrective actions to minimize downtime and user disruption.</p><p>• Support cloud and hybrid environment operations involving Microsoft services and related infrastructure components.</p><p>• Contribute to ongoing technical initiatives involving third-party vendors and enterprise systems as needed.</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 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.