Google

Senior Software Engineer, AI/ML, Technical Delivery, Google Public Sector

Reston, United States · On-site
Salary not published
Posted last week

From Google's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

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.

What they ask for vs. your profile

Must have

Cybersecurity
C++
Docker
Kubernetes
LLMs
Python
Stakeholder management
Training and coaching

Your match

Career roadmap: Software EngineerWhat to learn, how to practice and free resources, from beginner to expert.

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Hi [Name], I just applied for the Senior Software Engineer, AI/ML, Technical Delivery, Google Public Sector role at Google. My background in [your most relevant experience] lines up well with what the team is looking for. Would you be open to a quick chat, or could you point me to the right person on the team? Thank you!

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Google

Senior Software Engineer, AI/ML, Technical Delivery, Google Public Sector

Reston, United States · On-site
Salary not published
Posted last week

From Google's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

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. 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

Learn more about benefits at Google.

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.

Show the full description

Engineer air-gapped and sovereign cloud AI deployments adhering to strict defense and security compliance frameworks (e.g., FedRAMP High).

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.

Minimum qualifications

Bachelor’s degree or equivalent practical experience.

5 years of software engineering experience in Python, Go, or C++, and experience with systems architecture.

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.).

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.

Bachelor’s degree or equivalent practical experience.

5 years of software engineering experience in Python, Go, or C++, and experience with systems architecture.

Experience with LLM orchestration, embeddings, vector search, and agent frameworks.

Must possess an active Top Secret/SCI security clearance with current polygraph.

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.

What they ask for vs. your profile

Must have

Cybersecurity
C++
Docker
Kubernetes
LLMs
Python
Stakeholder management
Training and coaching

What they ask for vs. your profile

Must have

Cybersecurity
C++
Docker
Kubernetes
LLMs
Python
Stakeholder management
Training and coaching

Your match

A free account lets you apply, save this job, see how well you match and check your resume against it.

Career roadmap: Software EngineerWhat to learn, how to practice and free resources, from beginner to expert.

Reach the hiring team

A short note to a recruiter or the hiring manager after you apply can get your application read sooner.

ATS check

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