Forward Deployed AI Engineer (GenAI, AWS)

Provectus • New York, NY

3d • Remote

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 for business outcomes. We operate globally with offices in North America, LATAM, and EMEA, specializing in Financial Services & Insurance and Healthcare & Life Sciences. Our approach involves deploying pre-built AI Blueprints that rebuild critical business processes. We embed engineers and leaders as Forward Deployed Engineers (FDE) and Forward Deployed Executives (FDX) within client operations to understand, implement, and own the results. Our team is highly certified in AWS and AI technologies. The FDE role emphasizes deeply understanding a business function by performing the operator's job before automating it, contrasting with traditional requirement-gathering methods. This embedded, autonomous role focuses on delivering tangible business outcomes rather than just completing tasks. FDEs are expected to be the most senior technical person in the room and are responsible for shipping code while owning the outcome. Engagements begin with industry blueprints, and learnings are fed back into these systems, creating a continuous improvement loop. Success is measured by business impact, not hours or scope.

Requirements

• 8+ years building software, with a substantial portion in production code accountability.
• Hands-on coding ability and intention to remain so.
• Willingness to spend weeks doing someone else's job.
• Demonstrated ability to become conversant in unfamiliar business functions quickly.
• Experience shipping GenAI/LLM systems to production (beyond demos/notebooks).
• Experience building or owning an eval suite for a non-deterministic system.
• Strong engineering fundamentals; productive in unfamiliar codebases/languages.
• Python and/or TypeScript proficiency.
• Cloud-native delivery experience on AWS (GCP/Azure a plus), including containers, Kubernetes/ECS, IaC, CI/CD.
• Credibility with senior stakeholders.
• Comfort with ambiguity and ownership.
• Solid AI/ML foundations.
• Fluent English (written and spoken).

Nice To Haves

• Prior experience as a founder, CTO, or engineering leader who returned to individual contribution.
• Deep experience in financial services, insurance, healthcare, or asset management.
• Consulting, professional services, or other embedded customer-facing delivery experience.
• Data platform depth: data lakes, warehouses, streaming/real-time 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

• Take the operator's seat for weeks to perform tasks like claims processing, underwriting, or revenue-cycle work before writing code.
• Learn business domains quickly and become conversant in unfamiliar functions.
• Ship Generative AI/LLM systems to production, handling post-prototype complexities.
• Build or own evaluation suites for non-deterministic systems.
• Be productive in unfamiliar codebases or languages.
• Deliver cloud-native solutions on AWS, including containers, Kubernetes/ECS, IaC, and CI/CD.
• Engage in redesign conversations with business unit heads and scoping conversations with CTOs.
• Own the method and drive engagements with comfort in ambiguity.
• Understand AI/ML foundations to reason about model failure modes.
• Contribute to building AI tooling and frameworks.
• Collaborate in small, senior teams alongside Principal Architects and other Forward Deployed Engineers.

Benefits

• Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
• Opportunity to shape enterprise AI adoption
• Forward-deployed model working in small, senior teams
• Growing AI delivery practice
• Remote-friendly culture

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed