Senior Forward Deployed Engineer (GenAI, AWS)

Provectus•Connecticut, NY

1d•Onsite

About The Position

Provectus is hiring a Senior Forward Deployed Engineer to embed with enterprise customers in regulated industries such as banking, insurance, and healthcare, understand their operations from the inside, and build and deploy production AI systems using Claude and AWS. The role involves working as part of the customer’s team rather than as an external vendor, taking ownership from problem framing through production deployment, and measuring the impact on business outcomes. Engineers learn the customer’s work and constraints before building, then redesign functions from first principles alongside the customer and a Forward Deployed Executive. Engagements begin with Provectus industry Blueprints—working systems previously deployed for customers—and field learnings feed back into those assets. The work includes Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare, as well as helping enterprises adopt AI from strategy through first deployment and shaping the tooling and frameworks of Provectus’s AI delivery practice. The role is full-time, with on-site visits to client facilities and the company’s New York City office once a week. Compensation is a base salary of $180,000–$250,000 plus bonuses, with OTE up to $300,000. Visa sponsorship is not available.

Requirements

Typically 7 or more years of software-building experience, including substantial production coding for which the candidate was accountable.
Be hands-on with software development and intend to remain hands-on.
Be willing and able to understand another person’s job before coding and quickly become conversant in unfamiliar business functions.
Have shipped GenAI/LLM systems to production and handled challenges that arise after a prototype works.
Have built or owned an evaluation suite for a nondeterministic system and be able to explain what was measured and why.
Have strong engineering fundamentals and be productive in unfamiliar codebases or programming languages.
Have proficiency in Python and/or TypeScript.
Have experience delivering cloud-native systems on AWS, including operational considerations for systems inherited by others.
Have presales experience and be credible with senior stakeholders, including business-unit leaders and CTOs.
Be comfortable with ambiguity, ownership, and engagements that begin underspecified.
Have hands-on experience with Claude, Claude Code, and Cowork, including skills, workflows, MCP, integrations, connectors, or custom harnesses.

Nice To Haves

Experience with containers and orchestration, such as Kubernetes or ECS, and production CI/CD.
Infrastructure-as-code experience with AWS CDK, CloudFormation, or Terraform.
Open-source contributions or public writing about applied AI.
Experience with GCP or Azure.

Responsibilities

Spend the first weeks of each engagement learning the customer’s work and constraints from the operator’s perspective.
Rebuild business functions from first principles alongside the customer and a Forward Deployed Executive.
Build and ship production AI systems and own work from problem framing through deployment.
Work as part of the customer’s team and autonomously determine the approach rather than relying on pre-scoped deliverables or assigned tickets.
Use Provectus industry Blueprints as a baseline and feed insights from customer engagements back into them.
Deliver Cowork Activation, Agentic SDLC, and Blueprint Activations for Financial Services and Healthcare.
Help enterprises adopt AI from strategy through first deployment.
Help develop tools and frameworks for Provectus’s growing AI delivery practice.