ai-governance jobs in San Diego

As Production Support Lead for ClaimBeacon, a Deloitte AI-powered claims platform integrated with Guidewire, you'll own L3 production support — reproducing and resolving application bugs, data pipeline failures, AI agent issues, and small enhancements. You'll troubleshoot across the full stack (Java, Python, Flutter, AWS), use logs and monitoring to find root cause, ensure data and AI governance compliance, and decide when to escalate versus fix directly.…See more The role demands 5+ years of production support or software engineering experience, with proven end-to-end ownership of live issues, and strong exposure to agentic AI, DevOps, SQL, and insurance platforms like Guidewire.

As L3 production support lead for ClaimBeacon, a Guidewire-integrated agentic AI platform, you'll own end-to-end troubleshooting and resolution of production bugs, data pipeline failures, AI agent issues, and small enhancements across the full stack (Java, Python, Flutter). You'll reproduce issues using logs and monitoring tools, decide what escalates to core engineering, and ensure fixes maintain data/AI governance and compliance standards.…See more The role requires 5+ years of software engineering or production support experience with proven end-to-end ownership of production issues, plus comfort working across frontend, backend, data, and infrastructure in a live, high-pressure environment.

Lead a workplace engineering transformation program for enterprise clients using Microsoft 365, Active Directory, Entra ID, and endpoint management technologies. Design and implement large-scale migrations, lead cross-functional teams through deployment workstreams, and advise on AI-enabled workplace solutions including Copilot and enterprise AI platforms.…See more Manage project deliverables, coordinate adoption initiatives, and optimize end-user experience through automation and intelligent tooling. Requires 6+ years of workplace engineering experience, 3+ years of program/project management, and demonstrated ability to lead teams through enterprise-scale implementations.

The AI Learning Architect designs and implements generative AI applications for learning and development, using prompt engineering, retrieval-augmented generation, and low-code automation to personalize training content and remove manual steps. They structure learning data into modular frameworks, evaluate and integrate AI tools with existing learning platforms, set up analytics tracking via xAPI, and debug prompt configurations to keep solutions accurate and current.…See more The role requires 3+ years in instructional design or educational technology with hands-on AI integration, proficiency in modern generative AI models and low-code tools, knowledge of learning frameworks (ADDIE, SAM), and the ability to translate technical AI behavior into accessible user experiences. They embed responsible AI practices including data privacy, bias checks, and accessibility from the start, while documenting workflows and coaching teammates.

As Product Success Technical Director for AI Adoption Engineering at ServiceNow, you will own escalation resolution and architecture consulting for the company's most complex agentic AI deployments. You'll diagnose and stabilize at-risk customer go-lives, design resilient agentic architectures (LLM integration, RAG, multi-agent orchestration, guardrails, governance), and serve as the technical authority for customer executives during high-stakes moments.…See more You'll mentor the team, codify reusable playbooks and reference architectures, and act as a strategic conduit between field escalations and Product/Engineering to turn hard-won patterns into scalable capability.

Lead a technical program across 55+ production services while personally designing and building AI-agent-driven automation to streamline operational processes. You'll own program execution (scope, milestones, cross-functional coordination, executive reporting) alongside hands-on delivery of automation solutions including ticketing, reconciliation, telemetry, and workflows.…See more The role requires 7+ years of technical program management in platform/infrastructure environments plus proven ability to personally ship automation (API integrations, dashboards, AI-agent tools). You'll establish AI governance, validation controls, and human-in-the-loop processes to ensure automation is reliable, auditable, and maintainable.

This Technical Lead role focuses on architecting, developing, and deploying production-grade Agentic AI solutions on AWS using .NET/C#. The ideal candidate will have hands-on expertise in LLMs, generative AI, RAG, prompt engineering, and agent frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen), combined with strong .NET enterprise development and AWS cloud-native skills.…See more Responsibilities include taking AI solutions from POC to production, designing microservices and REST APIs, and ensuring AI evaluation, monitoring, observability, and governance. Technical leadership, stakeholder management, and system design fundamentals are essential.

As a Software Architect, you will design AI-first software development lifecycles and lead teams in building GenAI-integrated platforms. You'll architect solutions using prompt engineering, RAG, embeddings, and agentic AI while managing multi-developer environments where AI agents and engineers collaborate.…See more You'll own product architecture, prototype AI-driven solutions with modern DevOps and observability, and coach teams on AI-accelerated development practices. The role requires 6+ years of production software experience, hands-on use of agentic IDEs, proven GenAI integration delivery, and strong architecture expertise across APIs, microservices, cloud platforms, and CI/CD.

Director-level role leading AI/ML engineering strategy and execution across Optum's healthcare technology organization. You will define the roadmap for LLM engineering, generative AI systems, and agentic workflows; lead and mentor a team of 10+ AI/ML engineers, software developers, and MLOps specialists; architect scalable multi-cloud AI solutions spanning AWS and Azure with .NET/C# services; and champion ethical AI governance and production-grade model deployment practices.See more

The Manager of Digital Transformation will lead engineering teams through AI and automation initiatives at a defense shipbuilder, identifying practical use cases and coordinating proofs-of-concept for secure, compliant automation. The role requires 7+ years in engineering or technical environments with 3+ years of team leadership, plus strong change-management capabilities to guide stakeholders through organizational and technological transitions.…See more The manager will translate engineering needs into scalable solutions, manage platform stewardship, compliance frameworks (FedRAMP, ITAR/EAR, CMMC/NIST), and enterprise platform procurement. Success demands technical knowledge of engineering workflows, data governance, multi-system integration, and emerging AI/automation technologies, paired with exceptional communication and conflict-resolution skills.

This Staff AI Engineer role focuses on architecting and implementing secure, scalable frameworks for autonomous AI agents at enterprise scale. You'll lead the technical roadmap for agent management—from discovery and provisioning through task orchestration—while ensuring safety, compliance, and governance by design.…See more Working cross-functionally with product, platform, and research teams, you'll build foundational infrastructure for multi-agent collaboration, memory management, and extensibility, driving adoption across the enterprise. The role requires 8+ years in software architecture, backend systems, and Kubernetes/AI infrastructure, with deep expertise in LLM frameworks (LangChain, AutoGen, CrewAI), cloud platforms (AWS, Azure, GCP), and identity/access control patterns.

Lead Qualcomm's GenAI transformation for embedded and software engineering, building reusable AI agents, agentic workflows, and developer productivity tools that scale across teams. Partner with platform and engineering teams to establish secure AI practices, governance models, and metrics while serving as a technical thought leader who shapes the organization's transition to AI-native engineering workflows.…See more Requires Principal-level technical leadership with deep expertise in generative AI, LLM-based systems, and hands-on experience deploying GenAI solutions in complex engineering environments. Collaborate on code generation, code review, test automation, and release readiness use cases while driving measurable productivity and quality improvements.

Senior Infrastructure & Security Engineer responsible for administering and securing Microsoft 365, Azure, and Entra ID environments, including identity controls, conditional access, and MFA enforcement. The role encompasses data protection through DLP policies and Microsoft Purview, endpoint security via CrowdStrike, Windows Server and Active Directory infrastructure, virtualization (VMware, Azure), backup/disaster recovery, and establishing governance standards for AI platforms.…See more Requires 7+ years of progressive IT infrastructure and security experience with strong expertise in Microsoft cloud services, identity management, and enterprise networking.

Zensar is seeking an experienced AI Architect to design, develop, and deploy enterprise-scale AI and Generative AI solutions. The role requires deep expertise in Large Language Models (Claude, Gemini, OpenAI), multi-cloud platforms (Azure, AWS), and enterprise architecture, with 10+ years in software/cloud architecture and 5+ years designing AI/ML solutions.…See more Responsibilities include defining AI strategy and architecture standards, designing end-to-end GenAI systems (RAG, agentic AI, multi-agent systems), architecting secure infrastructure across Azure and AWS, establishing governance and responsible AI frameworks, and leading adoption programs. The ideal candidate will mentor teams, evaluate emerging technologies, and translate business requirements into scalable, production-grade AI systems.