Forward Deployed AI Engineer (GenAI, AWS)

About the role:

Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete.

Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.

We embed engineers and leaders inside client operations as Forward Deployed Engineers (FDE) and Forward Deployed Executives (FDX) — people who learn the work, ship the system, and own the outcome. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Bluprints.

Responsibilities:

• You will do the customer’s job before you automate it.
• Spend 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.
• Learn the constraints from the inside, the ones nobody writes down.
• Rebuild the function from first principles alongside the operator and a Forward Deployed Executive.

Requirements:

• 8+ years building software, a substantial share of it writing production code you were accountable for.
• Willingness to spend weeks doing someone else’s job before writing a line of code.
• Demonstrated ability to become conversant in an unfamiliar business function quickly.
• Shipped GenAI/LLM systems to production.
• Built or owned an eval suite for a non-deterministic system.
• Strong engineering fundamentals; proficiency in Python and/or TypeScript.
• Cloud-native delivery on AWS (GCP/Azure a plus): containers, Kubernetes/ECS, IaC, CI/CD.
• Credible with senior stakeholders.
• Comfort with ambiguity and ownership.
• Solid AI/ML foundations; understanding of model failure modes.
• Fluent English, written and spoken.

Nice to have:

• Prior experience as a founder, CTO, or engineering leader.
• Depth in one of our blueprint industries: financial services, insurance, healthcare, asset management.
• Consulting or professional services experience.
• Data platform depth: data lakes, warehouses, streaming and real-time analytics.
• 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.

What We Offer:

• 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.

How we hire:

• Short loop, hands-on, no take-home:
  • Intro conversation — the role, your background, what you want to be doing.
  • Two live engineering sessions. Real problems, your own editor.
  • The redesign session. Understand the job well enough to rebuild it — then say what you’d build and how you’d know it worked.