Senior Forward Deployed AI Engineer (GenAI, AWS)
About The Position
Provectus is a Premier AWS partner and an Anthropic Strategic Partner focused on applied AI, helping enterprises leverage AI technologies like Claude and agentic systems to achieve measurable business outcomes. We work with clients globally in Financial Services & Insurance and Healthcare & Life Sciences, deploying pre-built AI Blueprints that rebuild critical business processes. As a Forward Deployed Engineer (FDE), you will embed within client operations, learn their jobs firsthand, ship bespoke AI applications, and own the outcomes. Our approach emphasizes doing the customer's job before automating it, removing traditional requirements gathering to ensure deployed solutions are actually used and drive business value. You will be the most senior technical person in the room, responsible for shipping production code and owning the outcome, measured by business impact.
Requirements
- 8+ years of software building experience, with a substantial portion in production code accountability.
- Hands-on current coding ability and intent to remain so.
- Willingness to spend weeks performing an operator's job (claims processing, underwriting, revenue-cycle work) before coding.
- Demonstrated ability to quickly learn and become conversant in unfamiliar business functions.
- Shipped GenAI/LLM systems to production, handling post-prototype challenges.
- Experience building or owning an evaluation suite for non-deterministic systems.
- Strong engineering fundamentals, enabling productivity in unfamiliar codebases or languages.
- Proficiency in Python and/or TypeScript.
- Cloud-native delivery experience on AWS (GCP/Azure is a plus), including containers, Kubernetes/ECS, IaC, CI/CD.
- Credibility with senior stakeholders, capable of holding technical and scoping conversations.
- Comfort with ambiguity and ownership, as engagements start underspecified.
- Solid AI/ML foundations, understanding model capabilities and failure modes.
- Strong hands-on production experience with Claude Code/Cowork.
- Fluent English, written and spoken.
Nice To Haves
- Prior experience as a founder, CTO, or engineering leader who returned to individual contribution.
- Deep expertise in financial services, insurance, healthcare, or asset management.
- Experience in consulting, professional services, or other embedded customer-facing delivery.
- Data platform expertise: data lakes, warehouses, streaming analytics, data mesh, data contracts, governance, data quality.
- MLOps and classical ML experience: PyTorch, SageMaker, MLflow.
- Experience with 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.
Responsibilities
- Spend the first weeks of an engagement in the operator’s seat, performing the job (e.g., underwriter, analyst, RCM specialist) to understand constraints from the inside.
- Collaborate with operators and Forward Deployed Executives to rebuild functions from first principles.
- Build and ship production GenAI systems, including LLM applications, agentic workflows, and retrieval/extraction pipelines.
- Develop evaluation harnesses before building features, defining and instrumenting success metrics to drive design.
- Write production code across the full stack, including backend services, data pipelines, and the AI layer, primarily using Python and TypeScript.
- Deploy systems to production on AWS (or GCP/Azure if required), ensuring they are containerized, observable, and maintainable.
- Contribute to and leverage industry blueprints, feeding field learnings back into them.
- Own the outcome of engagements, working with a Forward Deployed Executive to drive adoption and achieve business KPIs.
- Manage change and be credible with customer engineers, operators, and executives.
- Shape and influence commitments before they are made, based on buildability and impact.
Benefits
- Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations.
- Opportunity to shape how leading enterprises adopt AI.
- Forward-deployed model working in small, senior teams.
- Growing AI delivery practice with opportunities to build tooling and frameworks.
- Remote-friendly culture.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
