Partner Forward Deployed Engineer, GenAI

Salary: £160,000 - 200,000 per year

Requirements:

• Bachelors 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 building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
• Experience leading technical discovery sessions with customers.
• Ability to communicate in French or German fluently as this is a customer-facing role that requires interactions in French or German with local stakeholders.
• Masters 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 complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Experience in a post-sales or technical consulting delivery function.
• Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
• Strong communication skills, and proven experience enabling technical teams on Agentic AI, at scale.

Responsibilities:

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows that drive measurable Return on Investment (ROI).
• Architect and code the connective tissue between Googles AI products and customer infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
• Identify repeatable field patterns and friction points in Googles AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
• Co-build with pre-sales and product teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
• Act as an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers.
• Code, debug, and jointly ship bespoke agentic solutions directly within the customers environment.
• Address blockers to production including integration complexities, data readiness issues, and state-management issues.
• Provide white glove deployment of complex AI systems and act as a feedback loop for Google Clouds future product roadmap.

Technologies:

• Agentic AI
• AI
• Architect
• Cloud
• Embedded
• LLM
• Python
• RAG
• React
• Security
• DevOps
• Excel
• MCP

More:

As a Forward Deployed Engineer in the Google Cloud organization, we are seeking an embedded builder who will bridge the gap between frontier AI products and production-grade reality within customers. We offer our most advanced AI portfolio, including frontier Gemini models and the Vertex AI platform, along with a collaborative culture and direct access to DeepMind engineering and research minds. This is an exciting time to join our Go-To-Market team and help drive customer success, solve business problems, and define the new cloud era.

last updated 36 week of 2026