Staff Forward Deployed Engineer

Salary: £100,000 - 100,000 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 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.
• Masters degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Googles 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.
• Must be a British citizen to meet compliance and security clearance requirements.

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 our AI products and customers live infrastructure, including APIs, legacy data silos, and security perimeters.
• Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
• Identify repeatable field patterns and technical friction points in our AI stack, converting them into reusable modules or formal product feature requests for our 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.

Technologies:

• AI
• Architect
• Cloud
• GCP
• Python
• RAG
• React
• Security
• DevOps
• Embedded

More:

hackajob is partnering directly with Google to hire for this role. 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 will function as a builder-consultant, embedding with strategic accounts to help move solutions from prototype to production and provide white-glove deployment of complex AI systems. We serve customers in more than 200 countries and territories, delivering enterprise-grade cloud solutions that help organizations digitally transform their business and industry. We also focus on tools that help developers build more sustainably.