<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 Sr. Systems Engineer to support and enhance a Microsoft-focused cloud environment in Martinez, California. This Long-term Systems Engineer Contract position will play a key role in strengthening Microsoft 365 services, device management, identity administration, and cloud-based automation across the organization. The ideal Systems Engineer candidate brings strong technical depth across Azure, Intune, Entra ID, and the Power Platform, along with the ability to resolve complex issues and guide broader IT efforts. This Systems Engineer role is an onsite ole out of Martinez, Ca. </p><p><br></p><p>Responsibilities:</p><p>• Oversee the performance, security, and day-to-day administration of Microsoft 365 applications, including Exchange Online, SharePoint Online, Teams, and OneDrive.</p><p>• Create and refine Intune configurations for endpoint management, compliance enforcement, and software deployment across supported devices.</p><p>• Administer identity and access controls within Entra ID, including authentication methods, privileged access workflows, conditional access, and hybrid identity support.</p><p>• Support the design, maintenance, and troubleshooting of Azure-based services that underpin the organization's cloud infrastructure.</p><p>• Develop business-focused solutions using Power Apps, Power Automate, and Power BI to improve reporting and streamline operational processes.</p><p>• Investigate high-severity incidents, perform root-cause analysis, and implement durable fixes across Microsoft 365 and Azure platforms.</p><p>• Build and maintain automation using PowerShell and Microsoft Graph integrations to reduce manual administrative effort and improve consistency.</p><p>• Produce and update technical documentation covering architecture, configurations, operational procedures, and support standards.</p><p>• Assess emerging Microsoft capabilities and licensing updates, then provide recommendations on adoption, governance, and practical use.</p><p>• Provide technical mentorship to less experienced team members and collaborate with security, compliance, and IT partners on audits, controls, and risk reduction.</p>
Robert Half and Protiviti operate one of the most advanced Salesforce ecosystems in professional services. We don't simply administer Salesforce—we leverage it as a core component of a hybrid cloud architecture connecting Sales Cloud, Azure, and enterprise platforms at scale. We are seeking a Salesforce Technical Architect to own the platform end-to-end and lead a distributed team of 10+ engineers across the U.S. and India. This is a hands-on architecture leadership role responsible for technical strategy, engineering standards, and key platform decisions. You will also lead major initiatives including Salesforce Data 360 (CDP), Agentforce expansion, and AI-enabled data and automation capabilities. What You'll Do Architecture & Platform Leadership Define when to leverage native Salesforce capabilities versus Azure-based Node.js or Python services. Design and oversee scalable integrations between Salesforce and internal or third-party systems using event-driven and near real-time architectures. Lead the implementation and evolution of Salesforce Data 360, Agentforce, and AI-powered data pipelines. Develop secure, scalable architectural patterns that support growth while maintaining governance and platform integrity. Proactively manage platform health using Salesforce Health Check and Optimizer. Engineering Governance & Quality Serve as the final authority for architecture reviews and technical design decisions. Establish engineering standards for a global development organization. Embed security, testing, and compliance throughout the SDLC. Implement automated quality gates including code reviews, testing, and security scanning. Enable teams to move quickly through strong frameworks, tooling, and automation. CI/CD & Automation Advance Python-driven CI/CD pipelines and support reliable deployments. Automate key SDLC processes including testing, security review, and release management. Drive a culture of continuous delivery and engineering excellence. Team Leadership & Delivery Mentor and lead senior and entry level engineers across multiple locations. Guide development of scalable Salesforce solutions using Apex, LWC, Flows, and platform capabilities. Design and support APIs, integrations, and automation solutions using Azure, Node.js, Python, and cloud-native services. Build and manage enterprise data pipelines supporting Salesforce and Data 360. Define integration standards and data contracts across enterprise platforms. Lead expansion of Agentforce capabilities and AI-powered employee experiences. Drive adoption of Einstein Copilot, predictive analytics, and generative AI within marketing and sales workflows. Partner with product, business, and data teams to deliver scalable solutions and technical direction.