Senior Forward Deployed AI Engineer (GenAI, AWS)
On-siteNew York, United States or New Jersey, United States
New York, United States or New Jersey, United StatesOn-siteFull TimeSenior LevelMedium
Full TimeSenior LevelMedium
Job Summary
Take the operator's seat by spending weeks performing claims processing, underwriting, or revenue-cycle work before writing code. Rebuild critical business functions from first principles with a Forward Deployed Executive, owning the method and the outcome. Ship GenAI/LLM systems to production, including eval suites and inference optimization, while navigating ambiguous requirements and unfamiliar codebases. Lead redesign conversations with BU heads and scoping discussions with CTOs, leveraging deep knowledge of financial services, insurance, or healthcare domains.
Required Qualifications
- 8+ years building software
- Substantial share of experience writing production code
- Hands-on coding today with intent to stay that way
- Willingness to spend weeks doing someone else's job (claims processing, underwriting, revenue-cycle work) before writing code
- Demonstrated ability to become conversant in an unfamiliar business function quickly enough to argue with people who do it for a living
- Shipped GenAI/LLM systems to production (not demos, not notebooks)
- Experience building or owning an eval suite for a non-deterministic system
- Ability to explain what was measured and why in an eval suite
- Strong engineering fundamentals
- Productivity when dropped into an unfamiliar codebase or language
- Python and/or TypeScript proficiency
- Cloud-native delivery on AWS
- Experience with containers, Kubernetes/ECS, IaC, CI/CD, and the operational reality of a system someone else inherits
- Ability to hold a redesign conversation with a BU head
- Ability to hold a scoping conversation with a CTO
- Comfort with ambiguity and ownership
- Solid AI/ML foundations
- Understanding of what models do well enough to reason about failure modes
- Strong hands-on production experience with Claude Code/Cowork
- Fluent English, written and spoken
Desired Qualifications
- Experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
- Real depth in financial services
- Real depth in insurance
- Real depth in healthcare
- Real depth in asset management
- Consulting, professional services, or other embedded customer-facing delivery
- Data platform depth (data lakes, warehouses, streaming and real-time analytics, data mesh and data contracts, governance and data quality)
- MLOps and classical ML (PyTorch, SageMaker, MLflow)
- Fine-tuning, distillation, or inference/serving optimization
- Graph databases (Neo4j, AWS Neptune)
- IaC depth (AWS CDK, CloudFormation, Terraform)
- Open-source contributions or public writing on applied AI
- Experience with GCP/Azure
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