Software Engineer, Rapid Innovation, Google Public Sector

Google; Reston (VA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google's Rapid Innovation team in Public Sector is seeking a Software Engineer to design genAI-driven solutions for public sector customers from Reston, VA. You will prototype AI applications, validate efficacy, and showcase capabilities through customer collaboration, shaping product direction with the Product team.

Role requires deep cloud AI experience, data pipelines, leadership in customer discovery, and a Top Secret/SCI clearance.

Qualifications

• Bachelor's degree in Engineering, CS, a related field, or equivalent practical experience.
• 5 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., GCP).
• Experience building pipelines for structured and unstructured data using vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience leading technical discovery sessions with customers.
• Active Top Secret/SCI security clearance with current polygraph.

Responsibilities

• Act as a trusted advisor to customers by understanding their business process and objectives.
• Design and build genAI-driven solutions spanning AI, data, and infrastructure.
• Demonstrate how Google Cloud is differentiated by working with customers on application prototypes and tuning models.
• Build repeatable technical assets to enable customers and internal teams; work with peers to include full cloud stack into architecture.
• Travel as needed; coordinate regional field enablement with leadership and product/partner organizations.

Skills

Python

AI systems on cloud

Data pipelines

Discovery sessions

Mentoring teammates

Education

Bachelor's degree in Engineering/CS or related field

Tools

GCP

LangGraph

CrewAI

ADK

Job description

Software Engineer, Rapid Innovation, Google Public Sector

Google

Reston, VA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.

Minimum qualifications:

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., GCP).
• Experience building pipelines for structured and unstructured data using both vector databases and (retrieval-augmented generation) RAG-like architectures to power enterprise AI solutions.
• Experience leading technical discovery sessions with customers.
• Must possess an active Top Secret/SCI security clearance with current polygraph.

Preferred qualifications:

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Software Engineer, you will support the Rapid Innovation team in Google Public Sector. You will construct rapid prototype generative AI applications tailored to public sector customers. You will leverage generative AI technologies to develop solutions and validate their efficacy. You will swiftly showcase the latest generative AI capabilities through direct collaboration with customers. In this role, you will closely collaborate with our Product team to eliminate obstacles and shape the future trajectory of our offerings. In addition, you will disseminate the lessons learned to customers and internal Google teams.

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.

Responsibilities

• Act as a trusted advisor to customers by understanding their business process and objectives. Design and build genAI-driven solutions spanning AI, data, and infrastructure.
• Demonstrate how Google Cloud is differentiated by working with customers on application prototypes; demonstrating generative AI features; prompting and tuning models; and optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues in generative AI applications.
• Build repeatable technical assets such as scripts, templates, reference architectures, etc. to enable customers and internal teams. Work with peers to include the full cloud stack into overall architecture.
• Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
• Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. Travel as needed.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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