Role Description
Our client is an enterprise company developing and providing solutions to its customers both commercial and federal. They are committed to fighting financial crime by detecting and investigating illicit activities like fraud, money laundering, and terrorist financing through digital asset tracing. They are seeking a Forward Deployed Engineer to work directly with government customers to take their SaaS products from initial setup and implementation to configuration and maintenance, and also scale with maturity.Qualifications5+ years of experience developing and deploying in PythonExperience with LLM or AI/ML pipelines and secure deployment of ML models in productionExperience deploying cloud-native architectureson AWS to include S3, EMR, EKS, IAM and RedshiftExperience with SQL to include oprimizing queries with window functions, CTEs, and large datasetsFamiliarity with Apache AirflowExperience implementing FedRAMP/FISMA controlsExperience in a customer facing roleKubernetes experience, preferably EKSProficient with Terraform or CloudFormationExperience in GitOps and CI/CD - Jenkins, GitLab, CI or similarYou will be a member of a very fast paced hybrid remote team. The estimated amount of onsite time is 50% and candidates must live within one hour of the DC, metro area. This role requires an active TS/SCI + FS Poly level government clearance. They offer a robust benefit package, including competitive compensation, comprehensive insurance, flexible work arrangements and a commitment to diversity and inclusion. Base salary is up to $275K for highly qualified candidates.#J-18808-Ljbffr
Our client is an enterprise company developing and providing solutions to its customers both commercial and federal. They are committed to fighting financial crime by detecting and investigating illicit activities like fraud, money laundering, and terrorist financing through digital asset tracing. They are seeking a Forward Deployed Engineer to work directly with government customers to take their SaaS products from initial setup and implementation to configuration and maintenance, and also scale with maturity.Qualifications5+ years of experience developing and deploying in PythonExperience with LLM or AI/ML pipelines and secure deployment of ML models in productionExperience deploying cloud-native architectureson AWS to include S3, EMR, EKS, IAM and RedshiftExperience with SQL to include oprimizing queries with window functions, CTEs, and large datasetsFamiliarity with Apache AirflowExperience implementing FedRAMP/FISMA controlsExperience in a customer facing roleKubernetes experience, preferably EKSProficient with Terraform or CloudFormationExperience in GitOps and CI/CD - Jenkins, GitLab, CI or similarYou will be a member of a very fast paced hybrid remote team. The estimated amount of onsite time is 50% and candidates must live within one hour of the DC, metro area. This role requires an active TS/SCI + FS Poly level government clearance. They offer a robust benefit package, including competitive compensation, comprehensive insurance, flexible work arrangements and a commitment to diversity and inclusion. Base salary is up to $275K for highly qualified candidates.#J-18808-Ljbffr
Government Careers
Government jobs offer stability, competitive benefits, and the chance to make a meaningful impact on your community and country.
Whether you’re starting your career or seeking new opportunities, these roles provide pathways for growth, security, and service.
Explore positions across a wide range of fields and take the first step toward a rewarding future in public service.
Show more * Hybrid Forward Deployed Engineer- FS Poly- Up to $275K ============================================================ * stanleyreid.com * Reston, Virginia 20191 United States View Map * Posted: Jul 12, 2026 * Location: Reston,Virginia * Full Time * Federal Government
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
Similar Roles
Get the FDE Pulse Brief
Weekly market intelligence for Forward Deployed Engineers. Job trends, salary data, and who's hiring. Free.