Staff Forward Deployed Engineer, Google Cloud Public Sector

Google Inc.; Greater London; Hybrid; GBP 130,000 - 180,000; Full time

Job summary

Google Cloud Public Sector is seeking an AI Forward Deployed Engineer to embed with highly regulated customers, delivering production-grade AI/ML solutions. You will bridge frontier AI with customer environments, coding, debugging, and shipping bespoke agentic solutions within client systems.

You will lead deployments, tackle integration challenges, data readiness, and state-management issues, and provide critical feedback to shape Google Cloud’s product roadmap.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 35 years of experience? : ignore
• 8 years of software development experience in Python or similar.
• Experience delivering production AI solutions on cloud platforms (GCP) and architecting AI systems.
• Experience building data pipelines with vector databases and RAG architectures.
• Experience leading technical discovery sessions with customers.
• Ability to obtain UK SC security clearance.

Responsibilities

• Serve as lead developer for AI applications, moving prototypes to production-grade agentic workflows.
• Architect and code connective tissue between Google's AI products and customer infrastructure.
• Build evaluation pipelines and observability frameworks for accuracy, safety, latency.
• Identify repeatable field patterns and convert them into reusable modules or feature requests.
• Co-build with customer engineers to ensure long-term project success and adoption.

Skills

8 years software development

Python or similar

AI systems on cloud platforms

Data pipelines with vector databases &

RAG architectures

Technical discovery with customers

Security clearance readiness

Education

Bachelor’s degree in Engineering, Computer Science, or related field

Master’s degree or PhD in AI/CS or related field

Tools

LangGraph

CrewAI

Google ADK (Agent Development Kit)

Job description

Staff Forward Deployed Engineer, Google Cloud Public Sector

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development using Python or similar coding languages.
• Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (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.
• Active, or the ability to obtain, a Security Check (SC) UK security clearance.

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, or Google’s Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation.
• Experience in a post-sales or technical consulting delivery function.
• Knowledge of large language model native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As an AI Forward Deployed Engineer (FDE) at Google Cloud, you will be the technical engine of our Innovation team, working directly with highly regulated clients to help them transform their operations using advanced AI/ML technologies. You are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as a "builder-consultant," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.

As an AI Forward Deployed Engineer (FDE) at Google Cloud, you will be the technical engine of our Innovation team, working directly with highly regulated clients to help them transform their operations using advanced AI/ML technologies. You are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as a "builder-consultant," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.

In this role, you will address blocker to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol servers) that drive measurable return on investment.
• Architect and code the "connective tissue" between Google’s AI products and customer’s live infrastructure, including APIs, legacy data silos, and security perimeters.
• Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
• Identify repeatable field patterns and technical "friction points" in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
• Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

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 .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.