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PG&E Corporation

Agentic AI Engineer, Expert

PG&E Corporation
Oakland, CA $140k - $238k/yr Full time Posted 20d ago
Agentic Ai Agentic Ai Platform Ai Agent Ai Agent Platform Ai Observability Ai Security Application Security Artificial Intelligence Artificial Intelligence Engineer Data Analysis Data Architecture Data Platform DevOps DevSecOps Gen Ai Platform Genai Ops Generative AI Graph Database Information Technology (IT) Knowledge Graph Microsoft Azure Ai Foundry Programming Programming Language Programming Languages Project Management Rag Architectures Security Automation Software Security
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Job Description

The Agentic AI Engineer, Expert will serve as a principal architecture authority for PG&E’s enterprise AI ecosystem, shaping the technical direction for Agentic AI platforms, AI Foundation services, and supporting integrations.

Role Overview

This position leads the architecture and design of PG&E’s AI ecosystem, defining architecture standards, reference patterns, and strategic direction for Agentic AI platforms and enterprise AI solutions. The scope includes AI Gateways, MCP integrations, retrieval and knowledge platforms, and enterprise connectivity patterns.

Responsibilities

  • Partner with AI Product Owners to define AI platform architecture, standards, reference architectures, and roadmaps.
  • Establish enterprise AI foundational architecture and a shared services technical strategy.
  • Create reusable architecture patterns for AI applications and services.
  • Align AI platform investment with business strategy and enterprise priorities.
  • Build prototypes for new Agentic patterns and evaluate open source solutions and frameworks.
  • Architect multi-agent systems, autonomous workflows, and intelligent orchestration capabilities.
  • Define Agent-to-Agent (A2A) communication and Human-in-the-Loop (HITL) design standards.
  • Guide enterprise adoption of Agentic AI solutions.
  • Define 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 and reference architectures for enterprise knowledge services.
  • Provide architectural leadership for AI-powered knowledge enablement solutions.
  • Build evals for RAG and KnowledgeGraph systems and use them in production for drift detection.
  • Work with Cybersecurity teams to define AI security guardrails and platform architecture controls.
  • Establish AI governance and Responsible AI architecture standards, including review of solution architectures for security, privacy, compliance, and risk requirements.
  • Partner with Cybersecurity and Enterprise Architecture teams to govern enterprise AI platforms.
  • Design enterprise AI solutions that embed FinOps principles by default, including optimization of model selection, infrastructure utilization, cost transparency, governance, and scalability to maximize business value while controlling operational spend.
  • Lead enterprise AI architecture reviews and strategic design sessions.
  • Advise business and technology leaders on enabling AI use cases.
  • Evaluate emerging AI technologies and platform capabilities.
  • Mentor architects and engineering teams across the organization.

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, Artificial Intelligence, or equivalent work experience in computer science, information technology, business administration, engineering, or other relevant field.
  • 5 years of experience in Cloud Architecture, Solution Architecture, Platform Architecture, or Enterprise Architecture.
  • AWS Associate Certification, or equivalent cloud platform certification.

Technologies

  • AWS, AWS Associate Certification, MCP
  • Copilot Studio, Azure AI Foundry, AWS Bedrock
  • RAG, semantic search, vector database, knowledge graph
  • FinOps, API-based platforms, DevSecOps, GenAIOps, AI observability
  • Human-in-the-Loop (HITL), Agent-to-Agent (A2A)

Compensation

PG&E provides the full salary/pay range for this position; actual pay depends on factors including internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The range to reasonably expect is around the minimum and midpoint of $140,000 - $189,000. Final decision is case-by-case. Bay Area minimum is $140,000 and maximum is $238,000.

Eligible to participate in PG&E’s discretionary incentive compensation programs.

Work Location

Hybrid role based in Oakland, CA, working from the employee’s remote office and PG&E’s Oakland headquarters based on business need. The assigned work location will be within the PG&E Service Territory.

Department and Position Summary

The AI and Cloud Engineering Team is responsible for defining PG&E’s enterprise AI and Cloud platform technical roadmap and strategic architecture standards, Agentic AI patterns, MCP integrations, AI Gateway services, knowledge platforms, and AI Foundation capabilities. The team provides design and engineering leadership for enterprise AI adoption, builds AI foundational capabilities to support high impact use cases, and ensures AI solutions are scalable, secure, governed, and aligned with business and technology objectives.

The Agentic AI Engineer, Expert is responsible for leading the architecture and design of PG&E’s AI ecosystem, serving as the principal architecture authority for AI platforms and emerging AI technologies across PG&E.

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