Forward Deployed AI Engineer

Accelerant

1d • Remote

About The Position

We're building an AI-powered operating system for how work gets done at Accelerant – across Actuarial, Finance, Legal, Ops, Risk & Compliance, Underwriting, and every function in between. You'll own what gets built, weigh in on what gets bought, and what gets automated out entirely. This role exists now because we're past the "prototyping" phase. We need someone who can turn the best ideas and prototypes into productionized shipped solutions whether they are custom AI apps, agents, plugins or automating workflows. You’ll partner closely with Business teams to identify the biggest sources of manual grind, automate them using modern AI and workflow tools, and scale proven solutions across the enterprise. You'll own end-to-end delivery — from technical architecture decisions (orchestration frameworks, RAG patterns, vector stores, agent design) to production code to operational reliability. You'll have the tools, the cloud budget, and the autonomy to actually do it. This Is a High-Autonomy, High-Impact Role for Someone Who: You see an inefficient process and can't leave it alone. You believe in quick iterations and working towards building the right solutions. You've shipped AI-enabled solutions into production. You've been building with LLMs, agents, coding assistants, and workflow tools long enough to have strong opinions about what’s real and what’s hype. You can vibe code prototypes for business alignment and immediately transition to building for production. Tries new AI tools the week they drop and have the browser history to prove it. You operate with autonomy. You can carry a technical discussion on tech stack choices, tradeoffs, and are genuinely curious about leveraging emerging technology.

Requirements

• Shipped LLM-powered products in production (Python/TypeScript, orchestration frameworks, RAG)
• Fluent with evals, observability, and guardrails — knows how to tell when AI is failing silently
• Can prototype and productionize — not one or the other
• Operates autonomously, communicates across technical and business audiences

Nice To Haves

• Experience in insurance, fintech, or other regulated financial services industries.
• Familiarity with insurance concepts (underwriting, claims, actuarial workflows) or willingness to learn them deeply.
• Experience with enterprise change management or internal consulting.
• Contributions to open-source AI/ML projects or an active public portfolio of AI work.

Responsibilities

• Build alongside the business: Work directly with key stakeholders in a consultative manner to identify pain points and start building solutions to simplify manual and redundant workflows. Write production code; this isn't a strategy role. Build towards automation and agentic capabilities.
• Build agents to automate grind: Partner with function heads to design, test, and deploy AI-driven agents and workflow automations. Own evals, observability, guardrails, and the "is this thing actually working" layer. Success means measurable outcomes — hours reclaimed, error rates reduced, processes that used to take days running in minutes.
• Prototype & iterate fast: Use AI coding assistants (e.g. Claude, Replit, Vercel, etc.), low/no-code platforms, and workflow automation tools to rapidly build and ship MVPs. Pick the fastest path to a working solution. Own cloud infrastructure, CI/CD, and operational reliability for what you ship.
• Drive build-vs-buy rigor: When internal builds aren’t the right choice (i.e., due to feasibility, speed to market, costs), lead vendor evaluations, negotiate modular solutions, and ensure clean integration with our data and AI platforms.
• Drive actual adoption: Shipping a tool is the easy part. Getting people to change how they work is hard. Lead the education, documentation, and change management that makes adoption happen.

What This Job Offers

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