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

About the role

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.

ABOUT THE JOB:

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

[https://about.google/intl/ALL_us/public-sector/#:~:text=We're%20committed%20to%20advancing,%2C%20research%2C%20and%20edtech%20companies.]

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

[https://www.google.com/about/careers/applications/benefits/].

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).

• 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.