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X In most instances, this position requires in-person interviews as part of the hiring process.
Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Reston, VA, USA; Washington D.C., DC, USA.
Minimum qualifications: - Bachelor's degree or equivalent practical experience.
- 2 years of experience with software engineering in Python, Go, or C .
- Experience with LLM orchestration, embeddings, vector search, and agent frameworks.
- Experience working in a cybersecurity domain (e.g., security engineering, threat detection and response, vulnerability research, or cyber operations) and with containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Experience with systems architecture.
- Must possess an active Top Secret/SCI security clearance with current polygraph.
Preferred qualifications: - Experience acting as a forward-deployed engineer or technical consultant in mission environments.
- Experience with model context protocol servers, representational state transfer application programming interfaces, and Google AD or similar libraries.
- Proven ability to interface directly with technical clients to scope and deliver software projects.
About the jobAs an AI Engineering Software Engineer, you will design, build, and deploy cutting-edge Google AI solutions tailored for national security, public sector, and high-assurance enterprise missions. You will specialize in developing autonomous agentic systems, building custom test and evaluation harnesses, and implementing high-impact cybersecurity capabilities within air-gapped, sovereign, and disconnected cloud environments. In this role, you will embed directly with customer technical teams to size, architect, and deliver scalable mission solutions while serving as a versatile technical leader across the broader delivery portfolio.
This role may require travel up to 25% of the time.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Design and deploy autonomous agent frameworks using RAG, multi-agent coordination, and custom evaluation harnesses to monitor model accuracy and drift.
- Productionize high-throughput AI integrations for threat intelligence, incident response, and zero-trust cybersecurity workflows.
- Engineer air-gapped and sovereign cloud AI deployments adhering to strict defense and security compliance frameworks (e.g., FedRAMP High, IL5/6).
- Optimize model execution, local caching, and containerized runtimes for restricted hardware and bare-metal environments.
- Embed with technical stakeholders to translate mission needs into modular AI solutions and mentor teams on system sustainment.
