Forward Deployed AI Engineer

Overview

As a Forward Deployed AI Engineer, you will design production architectures for agentic AI and integrate AI systems into enterprise environments. You will adapt workflows, tools and retrieval systems for production, while ensuring security, observability and cost efficiency. You’ll collaborate with cross-functional teams to deploy scalable AI solutions across cloud, on-premises and restricted environments. This role offers hands-on impact in advancing secure, deployable AI across complex scientific and enterprise contexts.

Pay / Benefits

• competitive salary
• bonus scheme
• 22 days annual leave
• hybrid working (two days home)
• pension with employer contribution
• Unmind wellbeing app

Responsibilities

• Design and implement production architectures for agentic AI, LLM and vision-language applications
• Adapt agent workflows, models, tools, retrieval systems and configurations for production use
• Integrate AI systems with enterprise APIs, databases, applications and data platforms
• Develop reusable connectors, APIs and Model Context Protocol tools
• Build automated CI/CD, testing, configuration management and deployment workflows
• Implement authentication, access control, secrets management, security and auditability
• Establish monitoring, logging, tracing, alerting and evaluation for models, agents and tools
• Optimise systems for reliability, latency, throughput, scalability and infrastructure cost
• Troubleshoot production issues and convert deployment experience into reusable platform capabilities

Key requirements

• Degree in computer science, software engineering, artificial intelligence, engineering or a related discipline, or equivalent practical experience
• Strong Python programming and production software-engineering skills
• Experience developing, integrating and operating enterprise software or AI applications
• Practical understanding of LLMs, agentic AI, tool calling and retrieval-augmented generation
• Experience building APIs, services and data pipelines, with Docker and cloud or on-premises deployments
• Understanding of authentication, networking, access control and enterprise security
• Experience implementing monitoring, logging and operational support for production systems
• Strong troubleshooting skills across application, AI, infrastructure, network and data layers
• strong collaboration across cross-functional teams
• proactive problem solving
• effective communication of complex AI concepts
• Python
• API design
• Docker

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