<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>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>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>Primary Responsibilities</p><ul><li>Process vendor invoices and ensure proper coding and approvals.</li><li>Perform purchase order, invoice, and receipt matching.</li><li>Manage vendor records and respond to supplier inquiries.</li><li>Support payment processing and resolve invoice discrepancies.</li><li>Work within Coupa to manage procurement and AP workflows.</li><li>Assist with month-end AP close and reporting.</li></ul><p><br></p>
<p>Primary Responsibilities</p><ul><li>Enter and process invoices in SAP S/4HANA.</li><li>Review coding, approvals, and supporting documentation.</li><li>Reconcile vendor statements and resolve discrepancies.</li><li>Prepare payment batches and support disbursement activities.</li><li>Assist with AP aging review and month-end closing tasks.</li><li>Maintain compliance with company policies and internal controls.</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>