Principal AI Platforms Solution Architect

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Oakland, CA, US, 94612

Requisition # 174929

Job Category:
Engineering / Science

Job Level: Manager/Principal

Business Unit:
Technology & Security

Work Type:
Hybrid

Job Location:

Oakland

The AI and Cloud Engineering Team is responsible for engineering, integrating, and operationalizing enterprise AI and Cloud platform capabilities that enable PG&E teams to securely adopt and scale AI solutions. The team builds and supports foundational capabilities such as Agentic AI services, MCP integrations, AI Gateway services, knowledge platforms, and AI Foundation components. Working within enterprise architecture, security, and governance direction, the team translates approved strategies and patterns into reusable, production-ready platform capabilities that accelerate high-impact business use cases while improving security, scalability, reliability, and operational consistency.

The AI Platforms Solution Architect (Principal) is responsible for leading the solution architecture and technical design of PG&E’s AI platform capabilities. This role translates enterprise architecture, security, and governance direction into scalable, production-ready designs and reusable implementation patterns for Agentic AI platforms, AI Foundation services, MCP integrations, AI Gateways, retrieval platforms, knowledge systems, and enterprise AI solutions. The position provides deep technical architecture leadership, partners with Enterprise Architecture and other technology stakeholders, and guides engineering teams in implementing secure, governed, reliable, and reusable AI platform capabilities.

This position is hybrid, working from the employee’s remote office and our Oakland headquarters, based on business need.

• Work closely with AI Product Owners to define AI platform architecture, standards, reference architectures, and roadmaps.
• Establish enterprise AI foundational architecture and shared services technical strategy.
• Develop reusable architecture patterns for AI applications and services.
• Align AI platform investments with business strategy and enterprise priorities.
• Build prototypes for new Agentic patterns and explore open sourced solutions and frameworks

• Architect multi-agent systems, autonomous workflows, and intelligent orchestration capabilities.
• Establish Agent-to-Agent (A2A) communication and Human-in-the-Loop (HITL) design standards.
• Design reusable Agentic AI architecture patterns and implementation frameworks.
• Guide enterprise adoption of Agentic AI solutions
• Establish architecture standards for AI Gateways and enterprise AI traffic management.
• Define MCP architecture and enterprise connectivity patterns.
• Architect secure integrations between AI platforms and enterprise systems.
• Develop reusable AI integration frameworks and reference solutions.

• Architect enterprise RAG, semantic search, vector database, and knowledge graph platforms.
• Define enterprise context management and retrieval architecture patterns.
• Establish reference architectures for enterprise knowledge services.
• Provide architectural leadership for AI-powered knowledge enablement solutions.
• Build evals for RAG and Knowledge Graph systems and use in production for drift detection

• Work closely with Cybersecurity teams to define AI security guardrails and platform architecture controls.
• Establish AI governance and Responsible AI architecture standards.
• Review solution architectures for security, privacy, compliance, and risk requirements.
• Partner with Cybersecurity and…