Senior AI Platform Engineer - Enterprise Cloud & Copilot

Edf Renewable Energy, Inc.; San Diego (CA); Hybrid; USD 163,000 - 190,000; Full time

Benefits offered by this job

Competitive bonus incentives

Comprehensive health coverage

401k with generous match

Paid time off including parental leave

Career development opportunities

Mentorship programs

Job summary

EDF power solutions North America is seeking a Principal AI Platform Engineer to lead end-to-end design, build, and governance of our enterprise AI platform. You will drive AWS Bedrock and Microsoft 365 Copilot initiatives, coordinating with cloud, security, and data teams to deliver scalable AI capabilities across the organization.

You’ll own reference architecture, standards, and governance policies, while mentoring staff and maturing the AI function.

Qualifications

• Bachelor’s degree in CS or related; Master’s preferred.
• 7–10 years in cloud platform engineering, DevOps, or infra ops.
• Experience deploying enterprise AI platforms with matrixed teams.

Responsibilities

• Builds and operates AWS Bedrock infrastructure in production.
• Configures Microsoft 365 Copilot for enterprise use and governance.
• Develops IaC (Terraform or AWS CDK) for governed deployments.
• Integrates enterprise data sources into Bedrock workloads.
• Maintains platform monitoring, logging, and governance artifacts.

Skills

AWS Bedrock

Microsoft 365 Copilot

Terraform

AWS CDK

Data integration

Security governance

Stakeholder communication

Education

Bachelor’s degree in Computer Science or related

Master’s degree preferred

Tools

OpenSearch Serverless

Snowflake

SharePoint

Purview

ServiceNow

Job description

EDF power solutions North America is seeking a Principal AI Platform Engineer to lead end-to-end design, build, and governance of our enterprise AI platform. You will drive AWS Bedrock and Microsoft 365 Copilot initiatives, coordinating with cloud, security, and data teams to deliver scalable AI capabilities across the organization.

You’ll own reference architecture, standards, and governance policies, while mentoring staff and maturing the AI function.