AI Forward Deployed Engineer for Public Sector Cloud

United States Digital Space LLC; Greater London; On-site; GBP 110,000 - 170,000; Full time

Job summary

Cloud seeks an AI Forward Deployed Engineer to work with highly regulated clients, embedding with accounts to ship bespoke agentic AI solutions within their environments. You will bridge frontier AI products and production readiness, moving from prototype to scalable deployments.

You will tackle production blockers, data readiness, and state-management challenges, delivering white-glove deployments and feeding real-world insights back into Cloud’s roadmap.

Qualifications

• Bachelor’s degree in Engineering or Computer Science or equivalent practical experience.
• 8 years of software development experience with Python or similar languages.
• Experience taking AI solutions from conception to launch on cloud platforms.
• Experience building data pipelines using vector databases and RAG-style architectures.
• Experience leading technical discovery sessions with customers.
• Eligible for UK Security Check (SC) or have it.

Responsibilities

• Lead AI application development, moving prototypes to production-grade agentic workflows.
• Architect and connect AI products to customer live infrastructure via APIs and data silos.
• Build evaluation pipelines and observability for accuracy, safety, and latency.
• Identify repeatable patterns and convert them into reusable modules or feature requests.
• Co-build with customer teams to ensure long-term success and adoption.

Skills

Python

AI/ML systems

Cloud platforms

Data pipelines

UK SC security clearance

Education

Bachelor’s degree in Engineering/CS

Tools

LangGraph

CrewAI

ADK

Job description

Cloud seeks an AI Forward Deployed Engineer to work with highly regulated clients, embedding with accounts to ship bespoke agentic AI solutions within their environments. You will bridge frontier AI products and production readiness, moving from prototype to scalable deployments.

You will tackle production blockers, data readiness, and state-management challenges, delivering white-glove deployments and feeding real-world insights back into Cloud’s roadmap.