Principal AI Platform Engineer [Hybrid

Principal Ai Platform Engineer

EDF power solutions North America has been providing clean energy solutions throughout the U.S., Canada, and Mexico since 1987. We are a market-leading independent power producer and service provider, serving utilities, corporations, industries, communities, institutions, and investors with reliable, low-carbon energy solutions that help meet growing demand.

From developing and building scalable wind (onshore and offshore), solar, storage (battery and pumped storage hydro), smart EV charging, microgrids, green hydrogen, and transmission projects, to maximizing performance and profitability through skilled operations and maintenance and innovative asset optimization, our teams deliver expert solutions along the entire value chain—from origination to commercial operation.

Be a part of an innovative and collaborative team environment that fosters our goal of delivering renewable solutions to lead the transition to a sustainable energy future.

EDF power solutions offers best-in-class employee benefits, including the following:

• Competitive bonus incentives. This position is eligible for our annual bonus program.
• Comprehensive health coverage. We provide low-cost health & wellness coverage for employees and their eligible dependents.
• Rewarding 401k. We provide a generous matching contribution.

We are also proud to offer:

• Favorable paid time off programs, including paid parental leave after one year of service.
• Rewarding learning & career development and advancement opportunities.
• Supportive mentorship & buddy programs.

The full pay range for this role is $135,600 to $226,100 annually, and the good faith estimated starting pay for this position upon hire is $163,000 to $190,000 annually. We generally base our salary decisions on factors including but not limited to, relevant work and leadership experience, education, demonstrated performance, internal equity, and in some cases, geographic location.

The Principal AI Platform Engineer is the company's first dedicated AI role, responsible for the end-to-end design, build, and governance of the enterprise AI platform. The role owns both surfaces of the AI strategy:
Microsoft 365 Copilot for business user AI and AWS Bedrock for enterprise application AI, integrating with enterprise data sources across structured platforms, document repositories, and operational systems. Operating as a senior individual contributor without direct reports, this role drives delivery through a matrixed model, directing cloud, M365, security, and application teams to execute platform work streams. The role is expected to grow in scope as the AI function matures, with the potential to build a dedicated team over time.

• Hands-On Engineering & Delivery
• Builds and operates AWS Bedrock infrastructure including Agents, Knowledge Bases, Guardrails, and Open Search Serverless RAG pipelines in production environments.
• Configures and governs Microsoft 365 Copilot including sensitivity label policy, Graph connector setup, DLP policy integration, and licensing scope management.
• Develops and maintains AI infrastructure as code (Terraform or AWS CDK) for repeatable, governed deployments across environments.
• Integrates enterprise data sources — including structured data platforms, document repositories, and APIs — into Bedrock-powered workloads, applying appropriate grounding, retrieval, and data access patterns for each source type.
• Builds and maintains platform monitoring, logging, and audit tooling to support governance, compliance, and continuous improvement.
• Platform Architecture & Standards
• Owns and maintains the enterprise AI reference architecture across Microsoft 365 Copilot and AWS Bedrock, ensuring alignment with security, data governance, and compliance requirements.
• Defines and enforces platform standards covering model selection, prompt design, RAG pipeline patterns, retrieval evaluation, and data grounding.
• Leads Architecture Review Board (ARB) submissions for all AI workloads entering production, producing architecture decision records and supporting documentation.
• Evaluates emerging AI capabilities and tooling, provides structured adoption recommendations with business value and risk framing.
• Ensures AI platform controls align with applicable regulatory and enterprise security frameworks.
• Governance & Risk Management
• Partners with the Enterprise Architecture practice to ensure AI platform decisions are represented in ARB processes, architecture standards, and the broader technology roadmap.
• Collaborates with IT Governance to develop and maintain AI-specific policies, use case intake processes, and risk classification frameworks, serving as the subject matter expert for AI platform controls.
• Implements and maintains Bedrock Guardrails and Microsoft Purview DLP controls at the AI model boundary, working in alignment with security and compliance teams to meet enterprise policy requirements.
• Produces and maintains platform runbooks, standards documents, and AI-specific…