This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Forward Deployed Engineer based in the United States.
This role sits at the intersection of engineering, customer delivery, and AI-driven product deployment, acting as the technical owner across the full customer lifecycle. You will work directly with strategic financial services clients to design, implement, and optimize agentic AI systems that power fraud detection, credit decisioning, and compliance workflows. The position blends deep technical problem-solving with customer-facing ownership, requiring you to translate complex business and risk requirements into scalable production systems. You will lead implementations from early discovery through go-live, ensuring seamless integration with customer environments and measurable time-to-value. This is a high-impact, hands-on role where engineering expertise and product thinking converge to shape real-world AI risk infrastructure. You will also act as a key feedback loop between customers and product teams, directly influencing platform evolution.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Forward Deployed Engineer based in the United States.
This role sits at the intersection of engineering, customer delivery, and AI-driven product deployment, acting as the technical owner across the full customer lifecycle. You will work directly with strategic financial services clients to design, implement, and optimize agentic AI systems that power fraud detection, credit decisioning, and compliance workflows. The position blends deep technical problem-solving with customer-facing ownership, requiring you to translate complex business and risk requirements into scalable production systems. You will lead implementations from early discovery through go-live, ensuring seamless integration with customer environments and measurable time-to-value. This is a high-impact, hands-on role where engineering expertise and product thinking converge to shape real-world AI risk infrastructure. You will also act as a key feedback loop between customers and product teams, directly influencing platform evolution.
Accountabilities:
- Lead technical discovery with customers to understand integration requirements, data architecture, and risk decisioning needs across fraud, credit, and compliance use cases.
- Design, prototype, and deliver proof-of-concept implementations that demonstrate platform value through real-world workflows and agentic AI solutions.
- Own end-to-end customer implementations, including integration design, data mapping, workflow configuration, testing, and production go-live support.
- Configure and optimize AI-driven decisioning systems and agent workflows to align with customer risk models, regulatory constraints, and operational goals.
- Serve as the primary technical point of contact for strategic accounts, maintaining trusted advisor relationships across engineering, data, and risk stakeholders.
- Lead technical health reviews, troubleshoot production issues, and proactively drive resolution of escalations with strong ownership.
- Identify expansion opportunities by mapping customer needs to platform capabilities and partnering with sales teams on upsell strategies.
- Gather structured product feedback from deployments and contribute to roadmap decisions, best practices, and reusable implementation frameworks.
- 5+ years of experience in a technical, customer-facing role such as Solutions Engineer, Solutions Architect, Technical Account Manager, or Forward Deployed Engineer.
- Strong experience delivering end-to-end technical implementations, from scoping and design through production deployment.
- Background working with financial services customers in areas such as fraud prevention, credit risk, AML, compliance, or payments is highly preferred.
- Strong proficiency with APIs, webhooks, and system integration patterns including ETL, event-driven architectures, and cloud data platforms.
- Ability to read and write SQL and work confidently with data schemas, pipelines, and structured datasets.
- Hands-on experience with LLMs and AI tools for debugging, prototyping, and workflow automation (e.g., Claude, GPT, Codex, Cursor).
- Deep understanding of agentic AI concepts such as orchestration, tool use, prompt design, and human-in-the-loop systems.
- Experience working with JSON, cloud environments (AWS, GCP, or Azure), and API testing tools such as Postman.
- Strong ability to translate ambiguous business requirements into structured technical solutions and production-ready configurations.
- Excellent communication skills with the ability to engage both technical and executive-level stakeholders.
- Competitive compensation package including base salary and equity, with 401(k) retirement savings plan.
- Comprehensive health coverage including medical, dental, and vision insurance for employees and dependents.
- Unlimited paid time off to support balance and flexibility.
- Full ownership and high-impact work on cutting-edge AI systems in financial risk and fraud prevention.
- Accelerated career growth alongside experienced leaders in AI, fintech, and enterprise engineering.
- Collaborative, mission-driven culture focused on making digital financial systems safer and more reliable.