Forward Deployed Engineering Lead (Data Science & Integration)

TL;DR

Forward Deployed Engineering Lead (Data Science & Integration): Designing and deploying AI/ML pipelines and enterprise integration solutions for the U.S. Public Sector with an accent on API-led connectivity and workflow orchestration. Focus on building bespoke production ML systems, orchestrating complex mission-critical workflows, and integrating fragmented data sources in highly regulated environments.

Location: Must be a U.S. citizen living on U.S. soil. Based in Virginia, Washington DC Metro, or Oahu (Hawaii). Ability to travel 50-75% to customer sites, including classified facilities.

Company

Global leader in CRM and cloud software providing digital transformation and mission-critical technology for the public sector.

What you will do

• Deploy cutting-edge data science pipelines and API-led integration ecosystems directly at customer sites in defense, intelligence, and aerospace environments.
• Architect and implement bespoke integration solutions using MuleSoft Anypoint Platform or equivalent iPaaS tools.
• Orchestrate complex operational workflows using Regrello or similar orchestration tooling (e.g., Temporal, Airflow).
• Develop high-quality production ML systems, including predictive models, LLM-augmented workflows, and agentic frameworks.
• Lead the end-to-end technical delivery of data pipelines, integration flows, and ETL/ELT construction in secure environments.
• Mentor junior FDEs and partner with internal product teams to co-develop reusable integration patterns and data science assets.

Requirements

• Must be a U.S. citizen (born or naturalized) living on U.S. soil who does not hold dual citizenship.
• Eligible for and willing to obtain a U.S. Security Clearance.
• 8+ years of experience in hands-on delivery of scalable production solutions, preferably in field-deployed settings.
• Expert proficiency in Python, Java, and SQL.
• Extensive experience with AI/ML, MLOps, LLMs, and frameworks such as LangChain or LlamaIndex.
• Deep expertise in enterprise data platforms like Snowflake, Databricks, BigQuery, or Redshift.
• Ability to travel 50-75% of the time to customer sites, including classified facilities.

Nice to have

• Experience supporting U.S. Department of Defense (DoD), Intelligence Community (IC), or Federal Civilian agencies.
• Direct hands-on experience with MuleSoft Anypoint Platform (DataWeave, Runtime Fabric) and Regrello.
• Background in defense, aerospace, or military logistics operations.
• Familiarity with IL5/IL6/CNSS #1253 requirements for classified deployments.
• Platform certifications from MuleSoft, Databricks, or major cloud providers (AWS/GCP/Azure).