Forward Deployed Engineer II (Remote, US)

Role overview

Own technical delivery for strategic customer deployments of an agentic platform used in complex investigation and risk workflows. This customer-facing engineering role covers the full arc from technical evaluation and proof of concept through production deployment and ongoing improvements. You will work directly in customer environments, solve problems where requirements may be unclear, and carry field insights back to core engineering.

Responsibilities

- Design and run demonstrations, proofs of concept, and trials using customer data, agreeing on success measures and delivering against them. - Build agents, tools, and integrations in customer environments, taking successful trials into production. - Develop production solutions using Python, SQL, APIs, and customer data and analytics systems. - Act as the primary technical contact for an account and communicate outcomes to executives, analysts, and mission owners. - Distinguish customer-specific work from reusable platform needs, document capability gaps, and drive roadmap input. - Establish delivery standards and review work produced by other engineers supporting accounts.

Requirements

- At least five years in a client-facing technical role and seven to eight or more years overall in software engineering or solutions consulting. - Experience owning strategic deployments end to end, from technical evaluation to production. - Production Python experience, including data manipulation, strong SQL skills, and hands-on REST API integration. - Experience deploying on AWS, GCP, or Azure and working with containers such as Docker and Kubernetes. - Comfortable working across technology stacks, learning new systems quickly, and solving ambiguous problems. - Daily use of AI-assisted coding tools, clear communication with technical and senior audiences, and a bachelor's or master's degree in a technical field.

Nice to have

- Experience building agentic or LLM systems, including orchestration, tool use, retrieval, or evaluation. - Familiarity with sovereign, air-gapped, or government cloud environments; modern data platforms and workflow orchestrators; graph technologies; or ML, NLP, and entity resolution. - Background in financial crime, supply chain risk, or national security.

Benefits and work setup

- Remote role in the United States, with travel and in-office time totaling approximately 25–30%.