{"id":3767774,"url":"https://alion.io/job/google-senior-software-engineer-aiml-technical-delivery-google-public-sector","title":"Senior Software Engineer, AI/ML, Technical Delivery, Google Public Sector","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":79,"open_postings":138,"ghost_share":0.043,"stale_share":0.696,"repost_share":0.043,"time_to_fill_p50_days":30,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Reston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FedRAMP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Zero Trust","optional":false},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-11-04T14:40:13Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-05T22:44:49Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the job\nAs 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. You will specialize in developing autonomous agentic systems, building custom test and evaluation harnesses, and implementing 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. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nDesign and deploy autonomous agent frameworks using RAG, multi-agent coordination, and custom evaluation harnesses to monitor model accuracy and drift.\nProductionize high-throughput AI integrations for threat intelligence, incident response, and zero-trust cybersecurity workflows.\nEngineer air-gapped and sovereign cloud AI deployments adhering to strict defense and security compliance frameworks (e.g., FedRAMP High).\nOptimize model execution, local caching, and containerized runtimes for restricted hardware and bare-metal environments.\nEmbed with technical stakeholders to translate mission needs into modular AI solutions and mentor teams on system sustainment.\nQualifications\nMinimum qualifications:\nBachelor’s degree or equivalent practical experience.\n5 years of software engineering experience in Python, Go, or C++, and experience with systems architecture.\nExperience with LLM orchestration, embeddings, vector search, and agent frameworks.\nExperience 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.).\nMust possess an active Top Secret/SCI security clearance with current polygraph.\nPreferred qualifications:\nExperience acting as a forward-deployed engineer or technical consultant in mission environments.\nExperience with Model Context Protocol servers, Representational State Transfer 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