Forward Deployed Engineer, AI Transformation

Arcesium LLC•New York, NY

2d•$180,000 - $220,000

About The Position

Arcesium is building a Corporate AI Transformation team, and you will be one of its few first members. As a Forward Deployed Engineer, you will work closely with business, operations and engineering teams to identify high-impact internal use cases and convert them into working AI solutions that run in production. This is not a traditional backend or application engineering role. You will operate like a builder, systems engineer, and product thinker rolled into one. You will take ambiguous business problems, break them into solvable workflows, design the agent architecture, and ship production-grade internal tools. You will work with Arcesium's corporate systems, data assets, and AI tech stack to build agents and automations that reduce manual effort, improve decision-making, and scale repeatable work. Success for this role isn’t just measured by shipping a prototype or completing a project, it’s measured by putting solutions into production and driving meaningful adoption and impact. The ideal candidate brings strong engineering fundamentals, a builder’s mindset, and a passion for using AI to improve how work gets done. This is a high-impact role for someone who wants to build AI solutions that meaningfully improve enterprise processes.

Requirements

6+ years of hands-on engineering experience, with a track record of shipping systems that other people depend on.
Strong engineering fundamentals across APIs, data, and systems design.
Experience building internal tools or automation systems for business teams.
The ability to understand a platform quickly, build on top of it, and turn business context into reliable technical solutions.
Systems thinking. You can hold a whole workflow in your head, see where it is structurally inefficient, and redesign it rather than automate it as it stands.
A bias to ship iteratively. You get a thin version into real use, learn from it, and improve it, instead of waiting for a complete design.
Credibility with senior business and technology leaders, and the ability to say hard things clearly to both.
Comfort with ambiguity and ownership. You will pick your own problems as often as you are handed them.

Responsibilities

Partner with business and functional teams to find the opportunities: workflow automation, AI-assisted decision-making, and work that agents can take on.
Understand complex operational processes across teams and convert them into structured problem statements, system designs, and technical workflows.
Build agents, workflow automations, and internal applications on top of Arcesium's corporate data systems, and enterprise tools.
Rapidly prototype using LLMs, agent frameworks, MCPs. Get something small in front of real users early and iterate on their feedback.
Design agent architectures that complete business tasks reliably.
Work with engineering, business, and security teams to take prototypes to move prototypes into scalable, maintainable solutions.
Evaluate build-vs-buy options for AI workflows and identify the right technical approach for each use case.
Create reusable components, templates and playbooks that accelerate this work across the firm.
Define the KPIs, measure the impact, and drive adoption.