Software Engineer, AI/ML, Technical Delivery, Google Public Sector
About The Position
As an AI Engineering Software Engineer, you will design, build, and deploy Google AI solutions tailored for national security, public sector, and high-assurance enterprise missions. The role focuses on developing autonomous agentic systems, creating custom test and evaluation harnesses, and implementing cybersecurity capabilities within air-gapped, sovereign, and disconnected cloud environments. You will embed directly with customer technical teams to scope, architect, and deliver scalable mission solutions, while contributing technical leadership across the broader delivery portfolio. The role may require travel up to 25% of the time.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 2 years of software engineering experience in Python, Go, or C++.
- Experience with LLM orchestration, embeddings, vector search, and agent frameworks.
- Experience in a cybersecurity domain, such as security engineering, threat detection and response, vulnerability research, or cyber operations.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience with systems architecture.
- Active Top Secret/SCI security clearance with current polygraph.
Nice To Haves
- 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.
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 that adhere to defense and security compliance frameworks such as FedRAMP High and 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.
Benefits
- 15% bonus target
- Equity
- Benefits are referenced, but specific benefits are not listed in the posting.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
