Principal AI Platform Engineer — Builder Experience, Remote

Target Corp; Brooklyn Park (MN); Hybrid; USD 168,000 - 356,000; Full time

Benefits offered by this job

Health benefits

401(k) with match

Paid time off

Job summary

Target Corp. seeks a Principal Engineer for AI Platform to lead forward-deployed engineering and AI builder experiences. You will architect, deliver, and scale AI-powered applications, systems, and APIs across teams, while guiding best practices in deployment, observability, and security.

You will mentor senior engineers, shape platform roadmaps, and translate complex problems into reusable patterns and tools for enterprise-wide adoption. Remote or hybrid work options apply.

Qualifications

• MS or PhD in Computer Science, Engineering, Mathematics, Statistics, or equivalent experience
• 8+ years designing, building, and operating large-scale software platforms and AI/ML systems in production environments
• Experience delivering AI applications including LLM-powered or agentic systems
• Experience building developer-facing capabilities (APIs, SDKs, frameworks, tooling)
• Strong understanding of distributed system design, scalability, reliability, and production deployment

Responsibilities

• Translate business and engineering challenges into scalable technical solutions
• Architect and deliver production-grade AI platform capabilities
• Mentor senior engineers and influence engineering standards
• Collaborate with product and platform teams to drive platform roadmaps
• Publish learnings and reusable patterns for the AI builder community

Skills

Large-scale software platforms

AI/ML systems

Distributed systems

APIs/SDKs

Mentoring engineers

Education

MS or PhD in Computer Science or related quantitative field

Tools

Containers

Orchestration

CI/CD

Observability tooling

Job description

Target Corp. seeks a Principal Engineer for AI Platform to lead forward-deployed engineering and AI builder experiences. You will architect, deliver, and scale AI-powered applications, systems, and APIs across teams, while guiding best practices in deployment, observability, and security.

You will mentor senior engineers, shape platform roadmaps, and translate complex problems into reusable patterns and tools for enterprise-wide adoption. Remote or hybrid work options apply.