Associate Forward Deployed Engineer

Provectus•New Jersey, NY

1d•$120,000 - $145,000

About The Position

Provectus is a Premier AWS partner and an Anthropic Preferred Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. 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 rebuilds a critical business process front to back, shipped from working code. You'll learn the customer's job before you automate it. Most AI projects fail the same way: someone gathers requirements, someone writes a spec, and a team ships a workflow nobody uses. We think the requirements step is the bug. So we remove it. As an Associate Forward Deployed Engineer, you'll join each engagement paired with a Senior FDE. Together you'll spend time alongside the client to understand their workflow and business needs. Then you'll help rebuild that work from first principles, and write real production code for it. You won't start from zero: every engagement begins from a Blueprint that has already shipped for a customer in that industry, and what you learn in the field goes back into it. This role is for early-career engineers who want to learn how AI gets deployed in the real world — and who'd rather learn by building than by watching.

Requirements

A degree in computer science, engineering or another STEM field.
0–2 years of experience; internships, co-ops and research.
You built projects, where you integrated AI as a part of your SDLC (internship, research or hackathon entry) that you can walk us through in depth: what worked, what broke, and what you'd change.
Hands-on Claude Code basics.
Strong programming fundamentals in Python or TypeScript.
Curiosity and speed of learning — you pick up unfamiliar subjects quickly and ask good questions, especially about how real businesses work.
Good communication skills - ability to explain complex technical subjects to non-engineers
Willingness to spend real time learning a client's job before you write code.

Nice To Haves

Cloud basics: AWS/Azure/GCP, containers, CI/CD
AI/ML coursework or foundations.
Comfort with ambiguity — our engagements start open-ended by design
Interest or coursework in financial services, insurance, healthcare or asset management.
Data pipelines or SQL; classical ML or MLOps (PyTorch, SageMaker, MLflow); infrastructure-as-code.
Open-source contributions, hackathon projects or public writing on applied AI.
Claude certification or AWS certification.

Responsibilities

Learn a client's function from the inside, and help redesign it alongside your senior FDE and the Forward Deployed Executive.
Ship production code for LLM applications, agentic workflows, and retrieval and extraction pipelines.
Build the evaluation harness before the feature — define what working means, then measure it.
Take systems to production on AWS, and feed what you learn back into the Blueprint.
Drive adoption, because a system nobody uses hasn't shipped — and build credibility with the client's engineers and operators.