Head of AI Engineering & Delivery - Agentic AI

Adecco (Portugal); Cambridge; Hybrid; GBP 120,000 - 160,000; Full time

Job summary

Agentic AI in Cambridge (Hybrid) is recruiting a Head of AI Engineering & Delivery to steer architecture, delivery and strategy for enterprise AI products. You will lead multiple engineering teams, shaping scalable platforms and AI-enabled solutions for clients and stakeholders.

The role demands a deep engineering background, 10+ years in relevant fields, and a track record of high‑growth delivery. A competitive package with bonus and equity is offered.

Qualifications

• 10+ years in Software Eng / Data Science / ML Eng or related field
• 5+ years leading high‑performing engineering teams
• Experience delivering enterprise software, AI or SaaS into production
• Exposure to Agentic AI, AI agents, intelligent automation or Generative AI
• Strong understanding of scalable software architecture, cloud platforms and best practices
• Proven ability to drive execution, delivery excellence and commercial outcomes

Responsibilities

• Define and execute the AI engineering strategy.
• Lead and develop software, platform and AI engineering teams.
• Deliver AI‑enabled products and customer solutions.
• Drive adoption of Agentic AI and modern AI architectures.
• Build scalable, resilient and secure AI platforms.
• Establish engineering standards, governance and best practice.
• Foster a culture of accountability, execution and delivery excellence.
• Act as a trusted adviser to executive stakeholders and customers.

Skills

Leadership

Delivery excellence

Strategic thinking

Executive communication

Education

2:1 degree or above from Russell Group

Tools

Azure

AWS

GCP

LangGraph

LangChain

Semantic Kernel

CrewAI

OpenAI Agents

Microsoft Copilot Studio

MCP

Job description

Head of AI Engineering & Delivery - Agentic AI, Artificial Intelligence, Degree

Location: Cambridge (Hybrid)

Salary: Competitive + Bonus + Share Options

About the Company

This is an opportunity to join a pioneering artificial intelligence company operating within a niche yet highly lucrative industry. The business is a recognised leader in its field, delivering innovative solutions to complex real-world challenges. Backed by an experienced leadership team and exceptional AI, data science and engineering talent, the company is entering an exciting phase of growth and is seeking a Head of AI Engineering & Delivery to scale its AI capabilities, engineering function and delivery excellence.

The Role

Reporting to the executive leadership team, you will lead the development and delivery of advanced AI products and platforms, driving both technical strategy and execution. This is a key leadership role requiring a strong engineering background, proven leadership capability and the ability to deliver innovative AI solutions at scale.

About You

• 10+ years' experience in Software Engineering, Data Science, Machine Learning Engineering or a related technical discipline.
• 5+ years leading high-performing engineering teams.
• Experience delivering enterprise software, AI or SaaS solutions into production environments.
• Exposure to Agentic AI, AI agents, intelligent automation or Generative AI technologies.
• Strong understanding of scalable software architecture, cloud platforms and engineering best practice.
• Proven ability to drive execution, delivery excellence and commercial outcomes.
• Experience operating within a high-growth technology environment.

Technical Experience

Experience across several of the following areas would be advantageous:

• Agentic AI
• AI Agents & Autonomous Workflows
• Generative AI & LLMs
• Retrieval Augmented Generation (RAG)
• Multi-Agent Systems
• MLOps / LLMOps
• LangGraph, LangChain, Semantic Kernel, CrewAI or AutoGen
• OpenAI Agents, Microsoft Copilot Studio and MCP
• Azure, AWS or GCP

Education

• 2:1 degree or above from a Russell Group university in Computer Science, Artificial Intelligence, Mathematics, Physics, Engineering or a related STEM discipline.

Key Responsibilities

• Define and execute the AI engineering strategy.
• Lead and develop software, platform and AI engineering teams.
• Deliver AI-enabled products and customer solutions.
• Drive adoption of Agentic AI and modern AI architectures.
• Build scalable, resilient and secure AI platforms.
• Establish engineering standards, governance and best practice.
• Foster a culture of accountability, execution and delivery excellence.
• Act as a trusted adviser to executive stakeholders and customers.

Keywords

Head of AI Engineering, Head of Engineering, Director of Engineering, AI Engineering, Agentic AI, AI Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge.