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Senior Forward Deployed AI Engineer, GenAI, AWS
Location
Connecticut + 6 moreAll locations: Connecticut | New Jersey | New York | North Carolina | Massachusetts | Pennsylvania | Virginia
Posted
1 day ago
Salary
0
Seniority
Senior
Job Description
Senior Forward Deployed AI Engineer, GenAI, AWS
Provectus
• Provectus is a Premier AWS partner and an Anthropic Strategic Partner, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes. • Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints. • A Forward Deployed AI Engineer at Provectus spends the first weeks of an engagement in the operator’s seat — as the underwriter, the analyst, the RCM specialist, the claims clinician, whoever actually does the work we’ve been asked to change. • You will learn the constraints from the inside and rebuild the function from first principles, owning the method as an embedded part of the customer’s team. • You won’t start from zero. Provectus builds industry blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline.
Job Requirements
- 8+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way.
- You will take the operator’s seat. You are genuinely willing to spend weeks doing someone else’s job — claims processing, underwriting, revenue-cycle work — before you write a line of code. Engineers who need to stay in the IDE should not apply.
- You learn domains fast. Demonstrated ability to become conversant in an unfamiliar business function quickly enough to argue with the people who do it for a living.
- Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works.
- You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why.
- Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
- Cloud-native delivery on AWS (GCP/Azure a plus): containers, Kubernetes/ECS, IaC, CI/CD, and the operational reality of a system someone else inherits.
- Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room.
- Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job.
- Solid AI/ML foundations — you understand what the models do well enough to reason about failure modes, not just call the API.
- Strong hands-on production experience with Claude Code/Cowork.
- Fluent English, written and spoken.
- Nice to have:
- Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution.
- Real depth in one of our blueprint industries: financial services, insurance, healthcare, 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.
Benefits
- Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
- The chance to shape how leading enterprises adopt AI, from strategy through first deployment
- A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
- A growing AI delivery practice where you help build the tooling and frameworks, not just use them
- Remote-friendly culture
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