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# AI Forward Deployed Engineer

- **Company:** Sitreps 2 Steercos
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $167,000.0 - $203,000.0
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Bash Shell, Cloud Computing, Cyber Security, Continuous Integration, Software Debugging, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Software Engineering, Systems Integration, TypeScript, Data Logging, Large Language Models, Model Validation, Software Troubleshooting, Generative AI, Agentic-AI, Kubernetes, Data Management, Machine Learning Operations, Software Coding, Terraform, Docker, Golang
- **Published:** October 6, 2026
- **Apply:** https://www.juju.com/job/2_162652755

## About the Role

* 5+ years of experience in customer-facing engineering roles, including forward deployed, solutions, sales, product, or implementation engineering.
 * Strong coding skills in Python and experience with TypeScript, Java, Go, Bash, or similar languages.
 * Experience building, deploying, integrating, or operating production software across cloud, containerized, on-premises, or enterprise environments.
 * Working knowledge of AI/ML systems, including generative AI, LLM applications, model evaluation, guardrails, observability, or agentic workflows.
 * Strong debugging and problem-solving skills, with the ability to work through complex technical challenges in live customer environments.
 * Ability to translate customer requirements into practical technical solutions and communicate complex concepts to both technical and non-technical audiences.
 * Comfort working independently in fast-moving, ambiguous environments where you may need to build, test, troubleshoot, and iterate quickly.
 * Ability to collaborate across engineering, product, security, and customer teams.
 * Willingness to travel regularly to customer sites, with travel reaching up to 50%.
 * U.S. Citizenship and eligibility and willingness to obtain a U.S. security clearance.

Nice to Have

 * Experience supporting Department of War, Intelligence Community, federal civilian, or other public sector customers.
 * Familiarity with RMF, FedRAMP, Impact Level (IL) environments, ATO processes, CMMC, or government software accreditation.
 * Experience with Kubernetes, Docker, Terraform, CI/CD pipelines, cloud infrastructure, platform engineering, or enterprise integrations.
 * Experience integrating with identity and access management (IdAM) providers, SIEMs, data platforms, APIs, secure networks, or logging and monitoring tools.
 * Hands-on experience with AI evaluation, red-teaming, runtime guardrails, model observability, AI governance, or agentic systems.
 * Previous experience at a defense tech, AI, cybersecurity, cloud, or enterprise SaaS company. xrbllit
 * Active Secret, Top Secret, or TS/SCI clearance.

## Description

Our client is seeking a Senior Forward Deployed Engineer to help public sector customers deploy and operationalize its platform in mission-critical environments.

This is a hands-on engineering role at the intersection of software development, customer deployment, AI assurance, and government technology. You'll write code, debug complex systems, build integrations, support deployments, and develop demos, prototypes, and workflows that help customers put AI security capabilities into practice.

Working directly with customer engineering teams, mission users, security stakeholders, and internal product and engineering teams, you'll translate operational needs into working software and practical deployment architectures. You'll also bring real-world customer feedback back to the team to inform product development and public sector strategy.

What You'll Do

 * Develop deep expertise in the company's AI evaluation, runtime guardrail, and agent governance platform.
 * Work directly with federal customers to understand mission requirements, technical challenges, and operational constraints, translating them into solution architectures, integrations, and implementation plans.
 * Build tailored demos, prototypes, workflows, and technical collateral for government executives, engineering teams, and mission users.
 * Help customers move from validated use cases and initial evaluations to working deployments.
 * Deploy, integrate, and support the platform across cloud, hybrid, on-premises, air-gapped, and government-controlled environments.
 * Write code, troubleshoot complex technical issues, and resolve implementation challenges alongside internal engineering, platform, security, and customer teams.
 * Collaborate with product and engineering teams to improve integrations, deployment processes, and platform capabilities.
 * Share field insights with product, engineering, research, and go-to-market teams to inform the roadmap, deployment strategy, and future customer requirements.