AI Forward Deployed Engineer
$160,000–$200,000 year
HybridPalo Alto, California, United States
Job Summary
Collaborate directly with government and enterprise clients to mutually architect, integrate, and deploy systems and capabilities. Architect services, microservices, and API endpoints while deploying and maintaining user application and prototyping platforms. Build and operate secure, compliant cloud environments meeting FedRAMP, NIST 800-53, and DoD IL-4/IL-5 standards. Manage infrastructure as code, CI/CD, and observability across commercial and government contexts using AWS, Terraform, and containerization. This role requires US citizenship and 4+ years of experience with forward-deployed backgrounds in GovCloud environments. Candidates must demonstrate hands-on expertise with AI coding tools, agentic workflows, and Python, Scala, Java, or R. The position is full-time with a base salary range of $160k to $200k. Quantifind's development team is centered in Palo Alto, California, with hubs in Atlanta, Georgia, and Washington, D.C., offering a hybrid work model requiring a minimum of 3 days in the office if onsite.
Required Qualifications
- US Citizen
- 4+ years of professional experience
- Technical education
- Strong programming foundation: Python, Scala, Java, R
- Strong AWS cloud management experience (ECS, RDS, S3, Cognito, Bedrock)
- Infrastructure as code (Terraform, CloudFormation)
- Containerization and orchestration (Docker, ECS/EKS/Kubernetes)
- CI/CD pipelines
- Familiarity with government cloud accreditation and security standards — FedRAMP, NIST 800-53, DoD IL-4/IL-5, STIGs
- Forward-deployed experience: comfortable collaborating directly with clients to architect and integrate systems
- Willingness to work on-site at client or government locations as needed
- Ability to provide references and meet in person
- Minimum 3 days per week in office (if in person)
Desired Qualifications
- Graduate or Ph.D. work if relevant
- Post-graduate education
- Forward-leaning in AI coding, with traditional technical training as a foundation
- Hands-on with AI coding tools and agentic workflows (Claude Code, GPT/Codex, Cursor, Windsurf), including multi-agent approaches for testing and validation
- Experience with equivalent cloud ecosystems to AWS
- Self-driven, mission-driven, curious, and constructive; startup mindset with strong communication skills
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.