Define AI architecture and drive the technical direction of AI/ML systems.
Lead cross-functional design, implementation, and integration challenges.
Partner with leadership to define AI roadmap and scale AI across clients.
Build scalable ML platforms, pipelines, and workflow orchestration (SQS, EventBridge).
Architect LLM-powered systems: prompt engineering, multi-agent orchestration, RAG.
Ensure AI reliability and security; production monitoring, logging, and debugging in production.

🎯 Requirements

7+ years AI/ML engineering experience.
Deep AI architecture and production systems.
Strong Python and software engineering discipline.
LLMs: prompt engineering, multi-agent orchestration, RAG.
MLOps: versioning, monitoring, deployment automation.
AWS GenAI (Bedrock) and Docker/containerization.

🎁 Benefits

Remote-friendly and global collaboration
Lead and shape enterprise AI systems
Production-ready AI in 30-45 days
Ownership and fast-paced craft

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot