Forward Deployed Engineer
Role details
Job location
Tech stack
Job description
As a Forward Deployed Engineer, you will serve as a builder, translator, and change agent. You will work directly with the Director of AI Strategy & Transformation and embed with internal teams to identify bottlenecks, imagine parallel AI-powered systems, and turn those ideas into working agentic systems that deliver real business impact.
This is an experimental, action-oriented role for someone who enjoys ambiguity, moves quickly from idea to prototype, and has the judgment and communication skills to bring stakeholders along.
What You Will Do
- Partner with internal functional leaders and subject matter expects to identify high-friction processes and high-value opportunities to redesign how work gets done using AI.
- Rapidly prototype, ship, and iterate agent workflows that drive measurable improvements in speed, quality, or efficiency.
- Build trust with non-technical stakeholders through clear communication, demos, and practical enablement.
- Design and maintain evaluation and feedback loops (e.g., LangChain-based evals) to assess quality, reliability, and safety.
- Capture what works and turn it into reusable patterns, playbooks, templates, and internal tooling.
- Surface insights from field work to inform broader AI strategy, product direction, and organizational design.
- Model strong engineering hygiene: documentation, versioning, monitoring, and continuous iteration.
What Success Looks Like (First 6-12 Months)
- Multiple teams adopt agentic workflows that materially reduce time-to-outcome or operational burden.
- Stakeholders begin to rethink their processes and organizational design based on what you've built.
- Teams can safely iterate on agentic systems using your playbooks, tools, and guidance.
- Proven patterns accelerate new deployments across the company.
Requirements
- You have a bias toward action: you'd rather build, test, and learn than wait for perfect clarity.
- You enjoy being a fresh set of eyes inside complex organizations and questioning "the way we've always done it."
- You're comfortable working with non-technical partners who may be cautious or less knowledgeable about AI, and know how to meet them where they are.
- You balance creativity and pragmatism: bold ideas, grounded execution.
- You take ownership from first sketch to real-world impact., * Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- Strong software fundamentals and ability to ship production-quality code.
- Experience with LLM tooling or agent frameworks
- Comfort operating in ambiguous problem spaces and defining the problem as you go.
- Clear, empathetic communicator with both technical and non-technical audiences.
- Demonstrated ownership and follow-through.
Preferred Qualifications
- Exposure to evaluation, experimentation, or quality measurement for AI systems.
- Experience building internal tools, workflows, or automations for business teams.
- Interest in teaching, enablement, or documentation as a force multiplier.
Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages.
Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.