<p>Robert Half is seeking a Software Engineer II – AI Engineer who will analyze, design, program, debug, test, implement, deploy, and support software enhancements and new applications using Generative AI technologies. This role contributes to the development and production deployment of GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, and AI-driven user experiences. </p><p> </p><p>This role supports SDLC documentation across all phases, with a focus on deployment, evaluation, observability, safety, and monitoring. It also interacts with users to define requirements and support applications in production. </p><p><strong>What You’ll Do</strong> </p><ul><li>Develop and modify application modules, including GenAI components. </li><li>Build prompt workflows, retrieval layers, APIs, and cloud services. </li><li>Troubleshoot production issues, including latency, hallucinations, and errors. </li><li>Provide Level II production support for deployed systems. </li><li>Design components, including LLM integrations and RAG pipelines. </li><li>Implement CI/CD pipelines, containerization, and release processes. </li><li>Develop RAG pipelines with embeddings, chunking, and vector search. </li><li>Apply prompt engineering techniques, including few-shot prompting and structured outputs. </li><li>Evaluate models for accuracy, relevance, and hallucination risk. </li><li>Implement safety guardrails, including PII protection and prompt-injection defense. </li><li>Execute testing, including unit, integration, and GenAI evaluation testing. </li><li>Monitor production systems for latency, cost, usage, and errors. </li><li>Support incident management with fallback and recovery strategies. </li></ul><p><br></p>
<p>We are looking for a Salesforce Technical Architect (Software Engineer IV) to lead the technical strategy, architecture, and delivery of a large-scale Salesforce environment. This role combines hands-on engineering with architectural ownership, guiding decisions across Salesforce and Azure while supporting secure, scalable, and high-performing solutions. The position also plays a key role in advancing data-driven marketing capabilities, AI-enabled workflows, and engineering practices that improve quality, automation, and deployment speed.</p><p><br></p><p>Responsibilities:</p><p>• Define the technical roadmap for the Salesforce ecosystem and determine the most effective approach for building capabilities within the platform or extending them through Azure-based services.</p><p>• Design and oversee integrations connecting Salesforce with internal and external systems, using resilient near real-time and event-driven patterns to maintain reliable data flow.</p><p>• Lead the rollout of Salesforce Data 360 and enhance supporting data pipelines that enable segmentation, analytics, and AI-powered business processes.</p><p>• Establish architecture standards, review solution designs and code, and ensure engineering output meets expectations for security, scalability, and long-term maintainability.</p><p>• Strengthen the software delivery lifecycle by introducing automated checks for code quality, testing, and security validation across development and release processes.</p><p>• Advance CI/CD practices by improving Python-based deployment pipelines and enabling frequent, dependable releases with minimal manual effort.</p><p>• Mentor a distributed team of engineers by providing technical direction, coaching on platform design patterns, and promoting consistent engineering excellence.</p><p>• Build and guide development of complex Salesforce applications using Apex, Lightning Web Components, and declarative tools, while also supporting services and APIs built with Node.js and Python.</p><p>• Define integration standards, API contracts, and automation frameworks that support dependable interoperability across enterprise platforms and cloud environments.</p>
<p>obert Half is seeking a Software Engineer II – AI Engineer to analyze, design, program, debug, test, implement, and support the privacy, security, and governance controls that protect generative AI technologies. This role safeguards GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, plugins, skills, and autonomous agents, by embedding data protection, security guardrails, and responsible AI governance across the development lifecycle. </p><p> </p><p>This role supports SDLC documentation across all phases, with a focus on data privacy, security guardrails, governance, compliance, and risk management. It also works with users to define requirements and support applications in production. </p><p><strong>What You’ll Do</strong> </p><ul><li>Design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization. </li><li>Build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering. </li><li>Establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management. </li><li>Review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks. </li><li>Define and enforce access controls, authentication, and least-privilege permissions for AI components. </li><li>Implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval. </li><li>Apply data classification, retention, and residency policies across GenAI data flows. </li><li>Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior. </li><li>Maintain audit trails and logging for plugin, skill, and agent activity. </li><li>Support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act. </li><li>Provide Level II production support for security, privacy, and governance incidents. </li><li>Support incident response, including containment, escalation, and remediation. </li></ul>
<p>We are looking for a Technical Program Manager to lead web-focused initiatives. This contract opportunity is <strong>on-site in the San Francisco Bay Area</strong>, and ideal for someone who can bring structure to complex digital work, guide cross-functional teams, and keep programs moving from concept through launch. The role calls for a strong operational mindset, excellent stakeholder communication, and the ability to tailor delivery approaches to meet evolving project needs.</p><p><br></p><p>Responsibilities:</p><p>• Oversee the full delivery cycle for web initiatives, guiding work from intake and scoping through execution, validation, and release.</p><p>• Partner with engineering, design, content, marketing, and web strategy stakeholders to define priorities, clarify requirements, and maintain alignment on timelines and outcomes.</p><p>• Apply a flexible project delivery approach by selecting and refining Scrum, Kanban, and Waterfall practices based on project scope and team needs.</p><p>• Administer and optimize project management platforms such as Jira and ClickUp, including workflow setup, dashboard creation, and usage guidance for team members.</p><p>• Establish and enhance governance standards for web operations to improve consistency, accountability, and delivery quality across projects.</p><p>• Manage the web roadmap by balancing priorities, coordinating resources, and ensuring work supports broader business objectives.</p><p>• Facilitate agile team routines such as sprint planning, daily check-ins, retrospective sessions, and backlog refinement meetings.</p><p>• Track program metrics and analyze delivery performance to identify bottlenecks, improve efficiency, and support data-informed decisions.</p>
<p>We are looking for a Technical Program Manager (Workday Advanced WMS Implementation) to lead operational improvement initiatives and support cross-functional program execution in Palo Alto, California. This Long-term Contract position focuses on strengthening program performance, coordinating stakeholders, and advancing safe, compliant practices across patient care and support environments. The ideal candidate brings strong business analysis, communication, and planning skills, along with the ability to translate strategic goals into measurable results.</p><p><br></p><p>Responsibilities:</p><p>Served as the Supply Chain business lead and primary point of contact for the end-to-end WMS deployment across SHC, SMCH, and Tri-Valley.</p><p>Managed program scope, schedule, budget, milestones, risks, issues, dependencies, and overall delivery execution.</p><p>Led business requirements, process-mapping, solution-validation, and functional-design sessions with business and technical stakeholders.</p><p>Coordinated Workday, TDS, systems integrators, implementation partners, warehouse operations, Supply Chain, IT, and other cross-functional teams.</p><p>Oversaw WMS integrations, interface design, data mapping, data validation, migration activities, and connected-system dependencies.</p><p>Directed user acceptance testing, defect management, test-cycle readiness, and business sign-off activities.</p><p>Managed cutover planning, readiness assessments, deployment activities, go-live execution, and post-go-live hypercare.</p><p>Coordinated training, change-management activities, operational readiness, and adoption across impacted warehouse and Supply Chain teams.</p><p>Led optimization efforts following implementation and identified opportunities to improve WMS processes, system utilization, and operational performance.</p><p>Chaired program governance forums and maintained clear decision-making, escalation, and accountability structures.</p><p>Prepared executive-ready Steering Committee and Operations Committee updates covering progress, risks, issues, decisions, milestones, dependencies, and required actions.</p><p>Established and monitored program KPIs to measure implementation progress, operational readiness, system performance, and post-go-live outcomes.</p><p>Identified delivery risks and dependencies early and developed mitigation and contingency plans to maintain program objectives.</p><p>Ensured alignment between business requirements, WMS configuration, Workday capabilities, third-party systems, integrations, data, testing, and operational processes.</p><p>Supported cross-functional decision-making and ensured timely resolution of program-level issues throughout implementation.</p><p>Maintained implementation documentation, governance artifacts, action items, decisions, and executive communications throughout the program lifecycle.</p>