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

Google LLC; Washington (District of Columbia); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health insurance (medical, dental, and

401(k) with company match

PTO 20 days per year

Sick time 40 hours/year (+69 Seattle)

Maternity Leave 28-30 weeks

Baby Bonding Leave 18 weeks

13 paid holidays per year

Job summary

Google LLC is seeking an AI Engineering Software Engineer for national security and public sector missions. You will design and deploy autonomous agent frameworks, enable sovereign cloud AI deployments, and mentor delivery teams while collaborating with customer technical staff.

This role emphasizes secure, high-assurance systems and interaction with government clients. The position is based in the United States with travel up to 25% and requires a Top Secret/SCI clearance with polygraph.

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.

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.

Skills

Python

Go

C++

Systems architecture

LLM orchestration

Embeddings

Vector search

Agent frameworks

Docker

Kubernetes

Top Secret/SCI clearance

Education

Bachelor’s degree or equivalent practical experience

Tools

Docker

Kubernetes

Job description

This role may require travel up to 25% of the time.
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.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

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.
• 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 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

Responsibilities

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.
• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.