<p>We are looking for an IAM Architect to lead the design and advancement of identity and access management solutions in Stratford, Connecticut. This role focuses on shaping secure, scalable architecture that supports business priorities across hybrid and cloud environments. The ideal candidate will combine deep technical knowledge with strong judgment, helping teams strengthen security controls while delivering practical, cost-conscious solutions.</p><p><br></p><p>Responsibilities:</p><p>• Lead the assessment, design, and implementation of enterprise identity and access management architecture aligned with organizational goals and security priorities.</p><p>• Define security requirements and recommend appropriate controls, capabilities, and solution patterns based on business needs, technology strategy, and emerging threats.</p><p>• Review vendor proposals and statements of work, identify security gaps or control weaknesses, and provide informed recommendations to internal stakeholders and vendor management teams.</p><p>• Create and maintain architecture blueprints, design documentation, and strategic roadmaps, and present implementation approaches to leadership and project teams.</p><p>• Develop tailored security solutions that support layered defense strategies by partnering with internal teams, external providers, and business stakeholders.</p><p>• Evaluate identity, access, and broader security technologies against operational, financial, and risk considerations, and advise on adoption or improvement opportunities.</p><p>• Establish baseline security standards for platforms, applications, network segmentation, and identity-related services across enterprise environments.</p><p>• Provide senior-level technical guidance to resolve complex access, directory, and security issues throughout planning, delivery, and operational support phases.</p><p>• Direct technical project execution by setting scope, quality expectations, timelines, and overall architectural direction through completion.</p><p>• Work across technical, business, and leadership groups to ensure timely delivery of secure, high-quality IAM services.</p>
<p><strong>Identity & Access Management (IAM) Architect</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>An organization is seeking an IAM Architect to support enterprise identity and access management initiatives across a diverse technology environment. This role offers the opportunity to provide technical leadership while contributing to the design, implementation, and evolution of secure authentication and access management solutions.</p><p><br></p><p><strong>Role Summary</strong></p><p>The IAM Architect will lead the design and development of identity and access management solutions that support organizational security, operational efficiency, and business objectives. This individual will work closely with technology and security teams to establish scalable identity frameworks, improve access controls, and support enterprise-wide security initiatives.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and maintain identity and access management architectures that support business and security requirements.</li><li>Provide technical leadership and architectural guidance for identity-related projects and initiatives.</li><li>Collaborate with technology teams to implement secure authentication, authorization, and access management solutions.</li><li>Support the design and management of identity lifecycle processes, access controls, and governance practices.</li><li>Evaluate and enhance security controls related to user access, privileged access, and identity management.</li><li>Develop standards, guidelines, and best practices for identity and access management technologies.</li><li>Partner with stakeholders to identify risks and recommend practical security improvements.</li><li>Support integration efforts across enterprise applications, cloud services, and technology platforms.</li><li>Assist with process automation, operational efficiencies, and continuous improvement initiatives.</li><li>Participate in architecture reviews, technology evaluations, and strategic planning activities.</li></ul>
We are looking for a Data/Information Architect to join a team in Madison, Wisconsin on a contract-to-permanent basis. This position focuses on building and advancing machine learning operations capabilities, with an emphasis on scalable data pipelines, model deployment, and practical forecasting solutions. The ideal candidate brings strong hands-on experience with Python, PySpark, and API-driven ML services, along with the judgment to select the right algorithms for different business problems.<br><br>Responsibilities:<br>• Architect and enhance machine learning workflows that support reliable model development, testing, deployment, and monitoring.<br>• Create scalable data pipelines using Python and PySpark to prepare, transform, and deliver data for analytics and machine learning use cases.<br>• Evaluate business problems and determine the most appropriate modeling techniques based on data characteristics, performance goals, and operational constraints.<br>• Build and support production-ready machine learning systems and products that integrate forecasting and predictive capabilities into business processes.<br>• Develop and maintain API-based services, including FastAPI solutions, to expose machine learning models for downstream applications.<br>• Measure and improve model performance by tracking accuracy, validating outputs, and refining approaches to strengthen prediction quality.<br>• Partner with technical and business stakeholders to define architecture standards for machine learning platforms and deployed data products.<br>• Contribute to MLOps best practices, including versioning, automation, reproducibility, and operational support for deployed models.
We are looking for an AI Security Architect to help shape and strengthen the security posture of enterprise AI capabilities in Pennsylvania. This contract opportunity is ideal for a security specialist who can guide the safe adoption of AI platforms, agent-based tools, and AI-assisted development practices while aligning with internal standards and regulatory expectations. The role works closely with technology, risk, compliance, and business teams to evaluate emerging capabilities, address evolving threats, and support responsible innovation.<br><br>Responsibilities:<br>• Develop and refine security architecture for AI platforms, intelligent agents, and AI-assisted coding solutions to support secure deployment and ongoing operations.<br>• Assess platform enhancements, configuration updates, and newly introduced AI features to identify potential risk and recommend practical safeguards before implementation.<br>• Establish and improve protective controls for AI environments, including permissions, monitoring, logging, data safeguards, and usage restrictions.<br>• Analyze how sensitive and regulated information is handled within AI workflows, and support governance efforts related to classification, labeling, and responsible data use.<br>• Review connectors, plugins, integrations, and agent-driven capabilities to confirm appropriate access levels and reduce exposure across teams and systems.<br>• Conduct structured security evaluations of AI tools, models, and services to verify alignment with internal policies and relevant industry guidance.<br>• Research new AI security technologies and threat patterns, including prompt-based attacks, model misuse, and unintended data exposure, and identify opportunities for improvement.<br>• Partner with stakeholders across IT, risk, compliance, and business functions to communicate findings and advance secure AI adoption.<br>• Support secure software development by reviewing AI-generated code practices and incorporating AI-focused security checks into engineering workflows.<br>• Produce meaningful security metrics, including key risk and performance indicators, to strengthen monitoring and decision-making for AI security operations.
<p>We are seeking an experienced <strong>Network Architect</strong> to design, optimize, and future-proof our enterprise network environment with a strong focus on scalability, security, performance, and readiness for emerging <strong>AI-driven technologies</strong>. This role requires deep expertise in <strong>Cisco architecture</strong>, advanced routing and switching, and modern network design principles to support a growing and evolving business. Based on general knowledge.</p><p><br></p><p><strong>Key Responsibilities</strong></p><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 <strong>AI futureproofing</strong>, 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 <strong>Cisco-based environments</strong>, 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><p><strong>Required Qualifications</strong></p><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 <strong>Cisco networking technologies</strong> 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 <strong>AI, automation, and future-state digital transformation initiatives</strong>. 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>
<p>For our client, we are seeking an AI Consultant to help design, develop, and implement artificial intelligence solutions that improve operational efficiency, automate business processes, and support data-driven decision-making. This individual will work closely with technical teams and business leaders to identify AI opportunities and deliver scalable solutions using modern AI technologies.</p>
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 join a high-performing team supporting innovation within a pharmaceutical-focused third-party logistics environment in Coppell, Texas. This Long-term Contract position will focus on shaping practical AI solutions that improve how users interact with documents, data, and business workflows. The role combines hands-on prompt design, user enablement, and governance oversight to ensure AI tools are effective, reliable, and aligned with operational needs.<br><br>Responsibilities:<br>• Build and manage a centralized prompt catalog that supports recurring business scenarios such as content summarization, question answering, information extraction, code-related assistance, and document review.<br>• Develop and refine prompting approaches using structured instruction design, example-driven guidance, contextual framing, and other advanced techniques to improve output quality.<br>• Create AI-enabled workflows that connect business data, operational records, document repositories, and related enterprise sources for practical internal use cases.<br>• Support the rollout and ongoing enhancement of AI applications, including knowledge assistants, conversational tools, and workflow optimization solutions across the organization.<br>• Run controlled testing on prompt variations, measure response quality, and document findings to guide continuous improvement efforts.<br>• Advise users on effective ways to work with AI tools when referencing local files such as PDFs, spreadsheets, word processing documents, and code assets.<br>• Design reusable prompt frameworks that perform consistently with large documents, multiple file inputs, and structured datasets.<br>• Evaluate prompts and file-based AI workflows for safety, bias, misuse exposure, and governance risks before production release.
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.
<p>We are seeking an experienced <strong>AI Engineer</strong> with a strong background in full-stack software development, C#/.NET programming, and Microsoft Azure to design, develop, and implement AI-driven applications and solutions. This role will focus on integrating Generative AI technologies into scalable, enterprise-level applications while leveraging modern cloud technologies and software engineering best practices. The ideal candidate is a hands-on developer who can build end-to-end solutions, integrate AI capabilities into existing systems, and contribute to the development of innovative, AI-powered applications.</p>
<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>
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.
We are looking for an AI Engineer to create practical, employee-facing applications that improve how internal teams find information, complete work, and make decisions. This role partners closely with business stakeholders to uncover operational challenges, shape effective solutions, and deliver reliable tools from concept through production support. The ideal candidate brings strong engineering depth, sound product judgment, and hands-on experience building applied AI systems that drive measurable efficiency and adoption.<br><br>Responsibilities:<br>• Partner with business leaders and end users to map workflows, identify inefficiencies, and define high-value AI solutions for internal operations.<br>• Design, build, and deploy AI-powered applications in Python using model APIs, orchestration frameworks, and enterprise-ready software practices.<br>• Develop retrieval-based experiences that enable users to search, analyze, and ask questions across internal documents and structured data sources.<br>• Create end-to-end automated processes that connect language models with business platforms, data systems, and human review checkpoints where needed.<br>• Architect agent-driven or multi-step AI solutions with clearly defined roles, secure permissions, and dependable coordination between components.<br>• Strengthen application quality through thoughtful testing, monitoring, documentation, deployment standards, and ongoing performance improvements.<br>• Assess model behavior for factual quality, consistency, traceability to source material, and usefulness in real business scenarios.<br>• Build intuitive user interfaces that allow employees to interact with AI tools easily without requiring technical expertise.<br>• Manage post-launch ownership by resolving issues, incorporating user feedback, and delivering enhancements that improve reliability and adoption.<br>• Present technical decisions, tradeoffs, and business impact clearly to both technical teams and non-technical stakeholders.
We are looking for an experienced infrastructure architect to lead the design of large-scale environments that support AI model training, inference, and high-performance computing in Irvine, California. This role blends deep technical expertise with practical decision-making across compute, networking, storage, and data center infrastructure, ensuring solutions are scalable, resilient, and ready for production. The position works closely with engineering, operations, vendors, and facilities teams to turn workload demands and site constraints into well-defined, deployable architectures.<br><br>Responsibilities:<br>• Architect end-to-end data center solutions for AI and HPC environments, aligning compute, interconnect, storage, and management systems into a cohesive platform.<br>• Convert workload profiles, growth forecasts, and site limitations into detailed infrastructure designs that support performance, reliability, and future expansion.<br>• Assess rack-scale platforms and hardware configurations to determine the best fit for resiliency, operational efficiency, and long-term scalability.<br>• Design network frameworks for compute, storage, user, and administrative traffic with careful attention to bandwidth, failover, and overall fabric performance.<br>• Define storage strategies based on throughput, latency, capacity, and application behavior to meet demanding AI and HPC requirements.<br>• Produce detailed equipment specifications and bills of materials covering hardware components, connectivity, software, support agreements, and spare inventory.<br>• Review vendor and integrator proposals to confirm technical completeness, pricing accuracy, and alignment with architectural requirements.<br>• Partner with manufacturers, OEMs, and integration providers during technical assessments and contribute expertise during commercial discussions.<br>• Establish rack layouts, cabling plans, service access considerations, and facility requirements including power, cooling, weight, and floor space.<br>• Create validation standards for benchmarking, reliability testing, and operational acceptance before systems are released into production.
We are looking for an experienced AI Manager to lead the delivery of enterprise AI applications in Houston, Texas. This role combines technical leadership with hands-on engineering, guiding full-stack AI solutions from data pipelines and backend services to user-facing applications powered by machine learning and generative AI. The successful candidate will work closely with cross-functional partners while building a strong engineering culture centered on quality, accountability, and practical innovation.<br><br>Responsibilities:<br>• Lead and develop a team of full-stack AI engineers supporting multiple projects at the same time, providing direction, mentorship, and consistent performance feedback.<br>• Contribute directly to active engineering work by helping design, build, and refine AI-enabled applications across frontend, backend, and data environments.<br>• Architect scalable solutions that connect data ingestion, application services, machine learning capabilities, and user interfaces into cohesive products.<br>• Establish and uphold engineering practices related to code reliability, testing discipline, security controls, and technical documentation.<br>• Review architecture decisions and software deliverables to maintain a high standard for performance, maintainability, and production readiness.<br>• Partner with product leaders, data engineers, and AI specialists to translate business goals into practical technical plans and delivered solutions.<br>• Promote responsible use of AI-assisted development tools and define working standards that improve code quality and team effectiveness.<br>• Assess emerging AI engineering tools and methodologies, sharing recommendations and embedding useful practices across the team.<br>• Support hiring, coaching, and team development efforts to strengthen capability, accountability, and delivery excellence.
<p>We are looking for an Agentic AI Orchestration Architect to join a Contract engagement supporting a retail visual production team in Corte Madera, California. In this role, you will assess how work moves across creative operations, connect existing AI-driven tools into a cohesive orchestration framework, and deliver practical improvements that can be adopted quickly. This position is ideal for a consultant who can combine technical architecture, workflow design, and stakeholder collaboration to build a scalable foundation for agentic AI in production environments.</p><p><br></p><p>Responsibilities:</p><p>• Lead onsite discovery sessions with a visual production team to analyze current processes, decision points, dependencies, and operational slowdowns.</p><p>• Design an orchestration approach that connects existing AI agents, automations, and platform-specific workflows into a unified operating model without replacing effective solutions unnecessarily.</p><p>• Deliver early-stage process enhancements that improve day-to-day production efficiency while defining a broader roadmap for long-term agentic AI adoption.</p><p>• Create a standardized work-order and state-management framework that tracks identifiers, assets, revisions, routing logic, ownership, approvals, and auditability across the workflow.</p><p>• Build rules-based routing and human review checkpoints, including support for manual status updates tied to production milestones such as studio shoots and print approvals.</p><p>• Develop notification and monitoring mechanisms that provide clear visibility into task readiness, delays, exceptions, and blocked work across the end-to-end process.</p><p>• Integrate tools such as Figma, Google Workspace, Box, and shared file environments using APIs, webhooks, and related connectivity patterns.</p><p>• Implement safeguards that carry upstream changes through dependent downstream activities in a controlled and reliable manner.</p><p>• Produce system documentation, train users on the operating model, and hand over a practical runbook with a prioritized backlog for future enhancements.</p>
<p>Robert Half is seeking an innovative <strong>AI Software Engineer</strong> 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.</p><p>This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>AI Application Development:</strong> Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li><strong>LLM Integration:</strong> 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><strong>Machine Learning Solutions:</strong> Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li><strong>Software Engineering:</strong> Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li><strong>Data Processing:</strong> Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li><strong>Cloud Deployment:</strong> Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li><strong>Model Optimization:</strong> Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li><strong>Collaboration:</strong> Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li><strong>Documentation:</strong> Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li><strong>Research & Innovation:</strong> Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul><p><br></p>
<p>We are looking for a skilled AI Software Engineer to join our team in Phoenix, Arizona. In this long-term contract role. We want a full-stack software engineer who ships at AI speed without giving up engineering judgment. You'll use AI coding agents as your main tool, and you'll be the person who knows when the agent is wrong.</p><p><br></p><p>Responsibilities:</p><p>· <strong>Build department workspaces end to end.</strong> Ticket hubs, queues, tiles and filters for Client Services, Legal, HR and Compliance (e.g. a ClickUp-style filter builder, a performance-review system, a legal case tracker).</p><p>· <strong>Work on regulated workflows.</strong> Credit-dispute (e-OSCAR ACDV) queues with locking, auto-submit and audit trails, where a bug means a compliance issue, not just a broken screen.</p><p>· <strong>Replace CollectOne, one department at a time.</strong> Read legacy SQL Server data, mirror it into Postgres, and rebuild the daily screens staff rely on.</p><p>· <strong>Write database migrations safely.</strong> Plan apply-before-merge order, row-level security, and one-transaction-per-page-load rules.</p><p>· <strong>Wire integrations.</strong> Microsoft Graph mailboxes into tickets, Amazon Connect call screens, AWS Bedrock AI features (reply suggestions, PDF invoice analysis), S3 uploads, Stripe and QuickBooks.</p><p>· <strong>Drive AI agents well.</strong> Write clear prompts and specs, break work into small stacked PRs, and review every line the agent writes.</p><p>· <strong>Keep CI honest.</strong> Respect the guard checks (page index, lint ratchet, migration hygiene, secret scanning) and add new guards when a mistake could repeat.</p><p>· <strong>Sit with users.</strong> Turn a messy request from a supervisor into a clear spec, then show them the working screen.</p>
We are looking for an IAM/Active Directory Architect to support identity and access management strategy, directory services design, and infrastructure governance for a Contract position based in Houston, Texas. This role will focus on building secure, scalable Active Directory environments while partnering with technical teams to align architecture decisions with operational needs. The ideal candidate brings strong experience across DevOps practices, enterprise storage, server virtualization, and Group Policy management, along with a solid understanding of architecture standards.<br><br>Responsibilities:<br>• Design and guide Active Directory and IAM architecture to support secure, reliable, and scalable enterprise operations.<br>• Develop and enforce directory services standards, policies, and technical frameworks that align with broader infrastructure architecture goals.<br>• Administer and optimize Group Policy Objects to strengthen security controls, streamline configuration management, and improve user environment consistency.<br>• Collaborate with DevOps, infrastructure, and operations teams to integrate identity services into automated deployment and support workflows.<br>• Evaluate server virtualization and enterprise storage dependencies to ensure directory services perform effectively across complex environments.<br>• Create architectural documentation, implementation guidance, and technical roadmaps for IAM and Active Directory solutions.<br>• Review existing platforms and recommend improvements that enhance resiliency, governance, and operational efficiency.<br>• Provide technical leadership during planning, deployment, and troubleshooting activities related to directory and identity services.
<p>We are looking for an AI Artist and Retoucher to support a visual production team. This long-term contract position blends generative image creation with expert retouching, requiring someone who can move fluidly between AI-assisted workflows and high-quality photographic finishing. The role focuses on producing refined product, interior, and lifestyle visuals that align with elevated brand and editorial expectations while partnering closely with creative stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine visual assets using generative AI tools and node-based workflows to produce furniture, interior, and lifestyle imagery for production use.</p><p>• Develop, test, and improve prompts across platforms such as ChatGPT, Gemini, and Claude to achieve consistent, production-ready image results.</p><p>• Retouch both photographed and AI-assisted imagery with careful attention to color balance, compositing, texture cleanup, lighting realism, and material detail.</p><p>• Integrate generated elements into existing photography and blend photographed components into AI-created scenes while preserving a natural, cohesive look.</p><p>• Elevate product and lifestyle images to premium editorial quality through precise masking, corrections, and finishing techniques.</p><p>• Prepare final files for print production, ensuring assets meet technical, formatting, and prepress standards.</p><p>• Work closely with art directors and creative partners to maintain a unified visual style across campaigns and marketing deliverables.</p><p>• Document repeatable prompting methods and retouching procedures to support internal best practices and workflow consistency.</p>
<p>We are looking for an experienced Solutions Architect to support enterprise-level telecom strategy and solution design in Philadelphia, Pennsylvania. This is a long-term contract position focused on shaping scalable, secure, and integrated architecture across complex network, platform, and software environments. The role partners with technical teams to evaluate current-state capabilities, define architecture direction, and guide implementation decisions that align with business priorities.</p><p><br></p><p>Responsibilities:</p><p>• Lead enterprise architecture planning and recommend technical priorities that support long-term business and infrastructure goals.</p><p>• Define and promote architecture standards, design principles, and technical guidelines for integrated technology solutions across networks, platforms, and applications.</p><p>• Assess existing applications to identify modernization opportunities, operational risks, cost considerations, and performance improvements.</p><p>• Provide documented recommendations on infrastructure options that can be used as applications are modernized, re-architected with specific focus on determining how applications can migrate to Kubernetes and other cloud based infrsstructure. </p><p>• Create architecture frameworks, reference models, and documentation to support the rollout of revised technical standards and cross-system integration efforts.</p><p>• Contribute to the development and oversight of architecture governance practices to ensure solution consistency, compliance, and design quality.</p><p>• Provide senior-level technical direction to project teams during planning, design, implementation, and optimization activities.</p><p>• Evaluate solution options by balancing security, scalability, interoperability, and business impact across enterprise environments.</p><p>• Monitor emerging telecom and infrastructure technologies to recommend innovations that strengthen the organization’s architecture strategy.</p>
<p>Robert Half is seeking an experienced <strong>Solution Architect</strong> with a strong insurance technology background to lead a focused assessment of TurboRater and identified alternative solutions. This position is best for a candidate who has extensive experience in an insurance industry and has worked with insurnace rating software. Apply today!</p><p><br></p><p><strong>Duration:</strong> 2 months</p><p><strong>Location:</strong> Hybrid preferred, Remote ok</p><p><strong>Schedule: </strong>Monday – Friday – Core Hours, 9-3pm PST</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Review existing business discovery and requirements documentation to understand objectives, validate key findings, and identify any material gaps.</li><li>Lead the evaluation of TurboRater and identified alternative insurance technology solutions.</li><li>Assess options against business requirements, enterprise architecture standards, integration needs, data considerations, operational requirements, and technical constraints.</li><li>Analyze solution capabilities, trade-offs, risks, and implementation considerations to support informed decision-making.</li><li>Facilitate discussions with business stakeholders, enterprise architects, technology teams, and vendors to gather insights and evaluate potential solutions.</li><li>Develop a structured assessment, including a comparison of viable options and a well-supported recommendation for future solution direction.</li><li>Establish and manage an independent work plan, track actions and dependencies, and provide regular stakeholder updates throughout the engagement.</li><li>Apply a repeatable approach to solution discovery and technology assessment that can be leveraged for future evaluation initiatives.</li></ul><p><br></p>
We are looking for an experienced Solutions Architect to lead the design of scalable technology solutions that support distribution and logistics operations in North Brunswick, New Jersey. This role will connect business needs with practical system architecture, with a strong focus on enterprise integrations, cloud-enabled platforms, and operational technology improvements. The ideal candidate brings deep technical expertise, strong collaboration skills, and the ability to guide initiatives from solution design through successful deployment.<br><br>Responsibilities:<br>• Design and implement integrations across internal applications and external partner systems using APIs, middleware, and event-driven patterns.<br>• Create technical solutions that support customer onboarding by connecting enterprise platforms with customer and supply chain applications.<br>• Work closely with vendors, partners, and internal teams to establish dependable data exchange processes and resolve integration challenges.<br>• Contribute hands-on development and configuration work to deliver architecture designs in alignment with technical specifications and project goals.<br>• Partner with operations, transportation, customer service, distribution, and finance teams to identify process improvements and apply technology-driven solutions.<br>• Support the enhancement and rollout of logistics platforms, including warehouse, yard, labor, and transportation-related systems.<br>• Architect cloud and hybrid environments in collaboration with infrastructure and cybersecurity teams to strengthen availability, resilience, and continuity.<br>• Provide technical leadership by reviewing solution designs, advising delivery teams, and promoting sound architecture standards and best practices.<br>• Embed security considerations such as access control, encryption, monitoring, and auditability into solution designs while participating in risk and compliance reviews.<br>• Assist with software evaluations, vendor selection activities, project planning, and prioritization of technology initiatives across the business.
<p>We’re looking for an experienced <strong>Solutions Architect</strong> who can serve as a trusted technical advisor and help shape enterprise architecture within a small, highly collaborative IT environment.</p><p>The role will initially focus on <strong>enterprise architecture, documentation, governance, API integrations, security, and technology standardization</strong>. You’ll partner closely with business teams and external partners, translating requirements into scalable technical solutions. This is an onsite role in Sacramento, CA</p><p><strong>Technology environment:</strong> AWS, GCP, Salesforce, MuleSoft, APIs, cloud and integration architecture.</p>