<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>
<p>We are seeking a full time highly skilled .NET, VB.net, C#, MS SQL Developer to support our desktop application development initiatives. The successful candidate will design, code, and test application software using .NET as the front-end development tool and SQL Server as the back-end database. This role will also provide technical support for custom development, database programming, performance monitoring, and knowledge transfer in core development technologies.</p><p><br></p><p><strong>Job Requirements:</strong></p><p><br></p><ul><li>Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent work experience.</li><li>7+ years of professional experience in application development using .NET technologies.</li><li>Strong programming skills in VB.net, ASP.NET (C#), HTML, CSS, XML, and Visual Studio .NET.</li><li>Proficiency with MS SQL Server database development, including stored procedures, triggers, indexing, and performance optimization.</li><li>Experience with API development and integration.</li><li>Familiarity with Crystal Reports and Power BI is a plus.</li><li>Familiarity with AI tools (ChatGPT, Claude) and proficiency in using GitHub for visual studio.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills with the ability to work independently and as part of a team.</li></ul>
<p><strong>Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading artificial intelligence and advanced analytics organization is seeking an Software Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
<p>We are partnering with a growing publicly traded organization to identify an experienced SEC Reporting Manager. This position will play a key role in external financial reporting, regulatory compliance, and technical accounting initiatives. The ideal candidate will bring a strong understanding of SEC reporting requirements, exceptional attention to detail, and the ability to collaborate across multiple business functions in a fast-paced environment.</p><p><br></p><p>Key Responsibilities</p><ul><li>Lead the preparation and filing of SEC reports, including Forms 10-K, 10-Q, and 8-K, ensuring compliance with regulatory requirements and reporting deadlines.</li><li>Prepare and review assigned sections of external reporting packages, including financial statement footnotes, MD&A, and supporting schedules.</li><li>Coordinate with internal business partners to collect, validate, and analyze financial and operational data used in public filings.</li><li>Research and evaluate new accounting and reporting guidance, documenting technical accounting positions and assisting with implementation.</li><li>Support internal and external audit processes by preparing schedules, coordinating requests, and facilitating reporting-related reviews.</li><li>Maintain and enhance financial reporting controls through the development of compliance documentation, variance analyses, and close-related procedures.</li><li>Assist with accounting and disclosure requirements related to equity compensation, earnings per share, business combinations, goodwill, and other complex accounting matters.</li><li>Drive process improvements and participate in special projects that support the broader accounting and finance organization.</li></ul>
We are looking for an experienced Identity & Access Management Analyst to support a long-term contract opportunity within the insurance industry in San Diego, California. This role focuses on strengthening identity governance, improving access controls, and advancing secure authentication practices across cloud and enterprise environments. The ideal candidate will bring deep expertise in access lifecycle management, compliance-driven security operations, and modern identity platforms while working closely with technical and business teams to protect organizational assets.<br><br>Responsibilities:<br>• Shape and enhance the identity and access management program by developing effective governance practices, standards, and control measures.<br>• Oversee user access throughout the full identity lifecycle, including new employee setup, role changes, internal transfers, and separation activities.<br>• Create and refine role-based access structures that align permissions with business needs and least-privilege security expectations.<br>• Coordinate recurring access reviews, entitlement certifications, and audit support activities to maintain regulatory and internal compliance.<br>• Partner with application owners, security teams, and business stakeholders to define access models and resolve complex authorization issues.<br>• Advance automation efforts for provisioning, deprovisioning, and access requests through APIs, scripting, and workflow-based solutions.<br>• Support integrations across Microsoft Entra ID, Okta, and connected cloud, SaaS, and on-premises applications to improve identity services.<br>• Contribute to privileged access controls, authentication enhancements such as SSO and MFA, and broader Zero Trust security initiatives.<br>• Provide operational reporting, risk metrics, and technical guidance while mentoring team members and supporting IAM-related projects from planning through delivery.
<p>We are looking for a senior Workday integration engineer to lead the design and support of enterprise integrations connecting Workday with other business platform. This position is best suited for someone who brings strong hands-on experience with Workday web services, APIs, and integration troubleshooting, along with broader software engineering judgment. The role focuses on building dependable, well-governed integration solutions that preserve Workday business logic while enabling effective orchestration through external automation tools.</p><p><br></p><p>Responsibilities:</p><p>• Architect and develop integration solutions that connect Workday with enterprise applications using Workday web services, APIs, and related interface methods.</p><p>• Investigate and resolve complex integration failures by reviewing raw request and response data, identifying root causes, and applying targeted fixes.</p><p>• Create integration flows that include input validation, reliable exception handling, retry logic, and traceable logging for auditability.</p><p>• Analyze Workday business process behavior, data relationships, and transaction sequencing to ensure accurate system interactions.</p><p>• Collaborate with technical teams using tools such as Power Automate and other workflow platforms to support orchestration and downstream processing.</p><p>• Maintain appropriate authentication, security controls, and execution context across system interfaces.</p><p>• Ensure external automation respects Workday’s role as the system of record and does not bypass core approval or business rule controls.</p>
We are looking for an Infrastructure Technician II to support critical technology systems that keep warehouse and logistics operations running smoothly in Garden City, Georgia. This position combines hands-on work across servers, virtualization, backups, and network infrastructure, with a strong focus on reliability and operational continuity. The ideal candidate brings practical troubleshooting experience, communicates clearly with a wide range of users, and can manage both day-to-day support and planned infrastructure improvements.<br><br>Responsibilities:<br>• Oversee the daily health, performance, and administration of the VMware ESXi environment, while maintaining physical server infrastructure and core Windows Server services.<br>• Administer identity and access services by supporting Active Directory environments, applying Group Policy updates, and maintaining secure, stable server operations.<br>• Monitor backup jobs and offsite replication processes, resolve failures promptly, perform recovery testing, and keep disaster recovery documentation accurate and current.<br>• Support and maintain network infrastructure across office and warehouse locations, including managed switches, wireless connectivity, VLAN configuration, and related connectivity components.<br>• Implement approved firewall and remote access changes through established change controls while helping preserve network security and uptime.<br>• Install, test, and troubleshoot copper and fiber cabling to ensure dependable connectivity across multiple operational areas.<br>• Maintain current network diagrams, asset records, and infrastructure documentation to support visibility, planning, and issue resolution.<br>• Deliver infrastructure initiatives such as hardware lifecycle replacements and network enhancement projects, meeting defined deadlines and project milestones.<br>• Provide desktop imaging, operating system deployment, and technical support for workstations and mobile devices used across multiple sites.
We are looking for an experienced M365 Engineer to support enterprise cloud initiatives for a banking organization in Denver, Colorado. This Long-term Contract position is suited for a senior specialist who can independently guide solution design, technical delivery, and platform improvement across Microsoft 365 and Azure environments. The role focuses on building secure, scalable collaboration and identity solutions while partnering with technical and business teams to advance modernization goals.<br><br>Responsibilities:<br>• Architect, deploy, and refine Microsoft 365 and Azure-based solutions that align with enterprise performance, security, and scalability needs.<br>• Provide senior-level technical leadership across the Microsoft platform, translating business objectives into practical cloud designs and implementation plans.<br>• Manage and improve core Microsoft 365 services such as Exchange Online and SharePoint Online to support reliable communication and collaboration.<br>• Drive initiatives related to security, compliance, governance, and identity management within the Microsoft ecosystem.<br>• Assess emerging Microsoft AI capabilities, including Copilot, and recommend or implement use cases that improve productivity and operational efficiency.<br>• Create cloud adoption approaches, technical standards, and modernization roadmaps to guide ongoing platform evolution.<br>• Partner with infrastructure teams, security specialists, and business stakeholders to deliver well-integrated and sustainable solutions.<br>• Resolve advanced technical issues, perform root-cause analysis, and offer expert guidance on complex platform challenges.<br>• Produce clear architecture documentation, operational procedures, and technical recommendations for stakeholders and support teams.
<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>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>
<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.
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.
<p><strong>Cloud Engineer (Azure) </strong></p><p><strong>Location: </strong>100% Remote</p><p><strong>Employment Type: </strong>Contract (6-9 Months with Potential Extension)</p><p><strong>Compensation: </strong>Hourly Equivalent of $97,000 - $110,000 annually</p><p><strong>Benefits</strong></p><p>This opportunity is eligible for:</p><ul><li>Paid Time Off (PTO) accrual</li><li>Holiday pay</li><li>Access to medical, dental, and vision benefit options</li><li>401(k) </li></ul><p><strong> </strong></p><p><strong>About the Opportunity:</strong></p><p>Robert Half is partnering with an organization undergoing a major cloud transformation initiative. As part of a large-scale infrastructure modernization effort, the company is migrating critical systems and workloads from traditional data centers into a multi-cloud environment.</p><p> </p><p>We are seeking a Cloud Engineer who will play a key role in cloud migration projects, infrastructure modernization, and day-to-day cloud operations. This position offers the opportunity to work on enterprise-scale initiatives while helping build the next generation of cloud infrastructure.</p><p><strong> </strong></p><p><strong>Responsibilities</strong></p><ul><li>Support the migration of on-premises infrastructure and workloads into cloud environments</li><li>Design, deploy, configure, and maintain Microsoft Azure infrastructure solutions</li><li>Administer and support cloud networking, security, and identity management services</li><li>Collaborate with infrastructure, networking, and security teams on cloud initiatives</li><li>Build and manage virtual machines, storage, backup, and recovery solutions</li><li>Monitor, troubleshoot, and optimize cloud environments for performance and reliability</li><li>Assist with cloud governance, security, and compliance initiatives</li><li>Support hybrid and multi-cloud environments</li><li>Document technical solutions, configurations, and operational procedures</li><li>Participate in infrastructure modernization and cloud transformation projects</li></ul><p><br></p>
We are looking for a Computer Vision Engineer to join a growing team building AI-driven solutions for manufacturing environments in Cambridge, Massachusetts. In this role, you will create and deploy vision models that interpret live camera feeds to support defect detection and workflow monitoring across industrial settings. This position is ideal for an engineer who enjoys turning machine learning concepts into reliable production systems and collaborating closely with technical teams to deliver measurable operational value.<br><br>Responsibilities:<br>• Design, train, and refine computer vision models for manufacturing use cases such as defect identification, anomaly detection, and step-by-step task tracking.<br>• Build production-ready Python-based machine learning pipelines using frameworks such as PyTorch or TensorFlow.<br>• Work with image and video data captured from facility cameras to develop accurate and scalable real-time analysis solutions.<br>• Deploy and support vision applications in cloud and edge environments, including AWS services such as S3 and EC2.<br>• Collaborate with engineering leadership and cross-functional teammates to translate customer needs into practical model and system designs.<br>• Create solutions from the ground up using supervised and unsupervised learning techniques where appropriate.<br>• Improve system performance through testing, evaluation, and iterative tuning of algorithms in live operational settings.<br>• Participate in periodic onsite visits to customer facilities to understand workflows, validate model behavior, and support implementation.
<p>We are looking for an expierenced Automation Integration Engineer to help strengthen and advance automated distribution operations in Riverside, California. This position combines hands-on engineering support with system integration work to keep warehouse technology, material handling equipment, and software platforms performing reliably in a high-volume retail environment. The role partners closely with operations, IT, engineering, and external vendors to resolve technical issues, improve throughput, and support new automation initiatives.</p><p><br></p><p>Responsibilities:</p><p>• Coordinate the connection and performance of warehouse software, automation controls, and material handling equipment to ensure smooth operation across distribution processes.</p><p>• Convert operational needs into detailed technical documentation, including functional requirements, change requests, and integration specifications.</p><p>• Build and manage testing strategies for system updates and automation enhancements, then verify results before release into production.</p><p>• Investigate interface failures, process interruptions, and unexpected system behavior by tracing data flow and equipment interaction across connected platforms.</p><p>• Provide daily engineering support for live automated operations, addressing equipment and system issues that affect flow, accuracy, or productivity.</p><p>• Lead root cause analysis for operational disruptions and follow issues through corrective action until stable performance is restored.</p><p>• Identify and implement improvements that increase throughput, strengthen reliability, and streamline warehouse processes.</p><p>• Assist with implementation projects, commissioning efforts, and go-live activities by coordinating technical tasks across internal teams and third-party partners.</p><p>• Maintain clear technical documentation such as standard operating procedures, workflow diagrams, interface records, and system support materials.</p><p>• Use operational metrics and system data to evaluate performance, support troubleshooting efforts, and contribute to reporting on key distribution indicators.</p>