Senior Forward Deployed AI Engineer (GenAI, AWS)
Core
Senior Forward Deployed AI Engineer who embeds in client operations to learn the operator's job, then rebuilds business functions using GenAI/LLM systems on AWS.
Role type
Senior IC GenAI/LLM engineer (embedded delivery)
Builds
Production GenAI systems, agentic workflows, and retrieval/extraction pipelines for Financial Services, Insurance, and Healthcare
Domain
Applied AI, GenAI, AWS Cloud, Financial Services, Healthcare
Deliverable
production ML models
Required skills
GenAI/LLM system production experience, AWS cloud-native delivery, Python/TypeScript, evaluation suite design, domain learning speed, stakeholder credibility, AI/ML foundations, Claude Code/Cowork proficiency
Preferred skills
Founder/CTO background, industry blueprint depth (finance/healthcare), consulting experience, data platform depth, MLOps, fine-tuning/distillation, graph databases, IaC (CDK/Terraform)
Technologies
AWS, Kubernetes/ECS, Python, TypeScript, Claude Code, Cowork, Neo4j, AWS Neptune, PyTorch, SageMaker, MLflow, Terraform, AWS CDK
Responsibilities
Do the operator's job for 2-4 weeks to learn constraints from inside, redesign functions from first principles with operators and executives, ship production GenAI systems into customer environments, build evaluation harnesses before features, write production code across backend/data/AI layers, drive adoption and measure against business KPIs
Seniority
Senior, hands-on IC
