Lead Forward Deployed Engineer
Job Summary
The Senior/Lead Forward Deployed Engineer (FDE) will lead technical engagements for U.S. Public Sector clients, designing and implementing AI-driven solutions using the Agentforce platform. This high-impact role bridges customer mission needs with Salesforce technology to deliver scalable, secure production systems in defense and intelligence environments. The position requires a seasoned technologist capable of architecting complex AI workflows, leading deployments, and mentoring junior team members.
Responsibilities
- Design and deploy bespoke AI/Agentic solutions for public sector clients
- Lead technical engagements and act as the primary architect for mission-critical systems
- Drive end-to-end delivery of complex code, integrations, and data pipelines
- Mentor junior team members and enforce high-quality engineering standards
Required Skills
- Expertise in JavaScript, Java, Python, or Apex
- Hands-on experience with LLM frameworks (LangChain, LlamaIndex)
- Strong data modeling and enterprise data platform skills
- Active TS/SCI with Polygraph clearance
- U.S. Citizenship with ability to pass federal background investigations
Job Details
### Core Responsibilities
- Deploy cutting-edge commercial innovation—from Slack-based AI agents to Data Cloud analytics—into defense, intelligence, and aerospace environments.
- Collaborate directly with end-users in classified and unclassified environments to translate mission needs into technical implementations using the Salesforce multi-cloud portfolio.
- Drive innovation by serving as a bridge between customer missions and Salesforce engineering, gathering frontline feedback to influence product roadmaps.
- Improve efficiency and mission-readiness by helping government entities deploy technology for faster response times and better logistics management.
- Take responsibility for end-to-end technical delivery, personally writing critical code, configuring systems, and troubleshooting complex issues.
- Architect and deploy complex AI and Large Language Model (LLM) based intelligent agents and automated workflows built on the Salesforce platform.
- Own the entire data lifecycle, from strategic data model design to building efficient processing pipelines and integration strategies.
- Conduct deep-dive technical debugging and root cause analysis for complex system interactions and AI model behaviors.
- Lead rapid prototyping and iteration to develop proofs-of-concept and minimum viable products (MVPs).
- Implement and enforce engineering best practices for code quality, scalability, security, and maintainability.
### What You Will Be Doing
- Serving as the technical lead on high-profile customer engagements for defense, intelligence, and aerospace missions.
- Partnering with internal product teams to co-develop new platform features addressing IL5/IL6 operational requirements.
- Leading integration of AI/ML models, custom data pipelines, and automation flows for predictive maintenance and mission-critical logistics.
- Enabling customer adoption of Salesforce for field operations, asset visibility, and secure collaboration via Slack and Government Cloud Plus.
- Assisting customer IT/security teams in accelerating Authority to Operate (ATO) and production go-lives.
### Qualifications
- 8+ years of experience in a hands-on, end-to-end delivery role for high-quality, scalable production solutions.
- Strong background in Computer Science or a related engineering discipline.
- Expert-level proficiency in one or more programming languages (JavaScript, Java, Python, Apex).
- Extensive experience building with AI/LLM technologies (e.g., LangChain, LlamaIndex, prompt engineering).
- Deep expertise in data modeling, processing, and analytics (e.g., Salesforce Data Cloud, Snowflake, Databricks).
- Proven ability to lead technical initiatives and mentor junior team members.
- Active TS/SCI with Polygraph required.
- Must be a U.S. citizen (U.S. born or naturalized) with no dual citizenship.
- Ability to travel 25-50% of the time.