Principal AI Platform Engineer [Hybrid]

Job summary

About Us: 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.

Benefits

Qualifications

• 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
• Produces and maintains platform runbooks, standards documents, and AI-specific governance artifacts in coordination with the Enterprise Architecture practice; ensures these remain current as the platform evolves.
• Manages AI vendor relationships including Microsoft (Copilot) and AWS (Bedrock), tracking roadmap developments and surfacing relevant changes to IT Governance and Enterprise Architecture stakeholders.
• Enablement & Community of Practice
• Leads the internal AI Community of Practice, setting agendas, driving participation, and connecting business use cases to platform capability.

Responsibilities

• as assigned
• Supervision of Others: This is a principal-level individual contributor role with no direct reports.
• The role exercises matrixed authority over cloud, M365, security, and application team members to execute AI platform workstreams, and may grow into a people-management function as the AI practice scales.
• Working Conditions: This is a hybrid role.
• The majority of time is spent in the office environment utilizing computers, phones, and general office equipment.
• A portion of time is spent outside the office attending vendor meetings, internal stakeholder sessions, and relevant industry conferences.
• Fiscal
• Accountable for AI platform budget management and vendor contract oversight as the function scales.
• Education/Experience:
• Bachelor’s degree in Computer Science, Information Systems, or a related field required, Master’s degree preferred.
• Equivalent work experience may be substituted for a Bachelor’s Degree.
• 7–10 years of experience in cloud platform engineering, DevOps, or infrastructure operations, with demonstrated progression into senior technical ownership.

Skills

Degrees

Industry

Company size

Contract length