AI Director

BrickRed Systems; Watford; On-site; GBP 180,000 - 240,000; Full time

Job summary

BrickRed Systems is seeking an experienced AI Director to drive strategy, innovation, and enterprise-scale AI initiatives across the UK and international markets. You will shape the AI roadmap, build high-performing teams, and translate emerging AI technologies into practical business solutions that deliver measurable value.

Ideal candidates have a strong track record in Generative AI, LLMs, and multi-agent systems, with hands-on leadership in AI products, services, and advisement for clients.

Qualifications

• 12-18+ years in technology/AI leadership with enterprise-scale delivery.
• Proven experience leading AI strategy, architecture, and implementation.
• Strong knowledge of Generative AI, LLMs, and Agentic AI.

Responsibilities

• Define and execute the organisation's AI strategy and road map.
• Identify opportunities to leverage AI across functions and client engagements.
• Lead enterprise AI adoption and digital transformation initiatives.
• Evaluate emerging AI technologies, platforms, and frameworks.
• Establish AI development standards and best practices.
• Oversee scalable, secure AI solutions and production deployment.

Skills

AI strategy

Leadership

Generative AI

LLMs

MLOps/LLMOps

Python

Cloud platforms

Client engagement

Enterprise architecture

RAG architectures

Education

Bachelor's or Master's degree in Computer Science, AI, Engineering, or related discipline

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

Vector databases

APIs & microservices

Job description

We are seeking an experienced and visionary AI Director to lead the organisation's AI strategy, innovation, and implementation initiatives across the UK and international markets.

The successful candidate will be responsible for building and scaling AI capabilities, driving enterprise AI transformation, and developing innovative AI-powered solutions that deliver measurable business value.

This role requires a strong combination of technical expertise, strategic leadership, commercial awareness, and an entrepreneurial mindset. The individual should be capable of translating emerging AI technologies into practical business solutions, leading technical teams, engaging with clients, and identifying opportunities to develop new AI-driven products and services.

A strong focus will be placed on Generative AI, Agentic AI, AI Agents, and enterprise-scale AI implementation.

Key Responsibilities

• Define and execute the organisation's AI strategy and long-term technology roadmap.
• Identify opportunities to leverage AI across business functions, products, and client engagements.
• Lead enterprise AI adoption and digital transformation initiatives.
• Evaluate emerging AI technologies, platforms, and frameworks.
• Establish AI development standards, architecture principles, and best practices.

2. Generative AI & Agentic AI

• Lead the design, development, and deployment of Generative AI solutions.
• Build and implement intelligent AI agents capable of executing complex, multi-step business workflows.
• Drive the development of Agentic AI and multi-agent systems.
• Lead initiatives involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and conversational AI.
• Identify opportunities for AI-powered automation, intelligent assistants, and autonomous decision-support systems.
• Evaluate and integrate commercial and open-source AI models.
• Oversee the development of scalable, secure, and production-ready AI solutions.
• Provide technical direction across AI/ML architecture, cloud infrastructure, data platforms, and model deployment.
• Drive MLOps and LLMOps practices, including model monitoring and performance optimisation.
• Ensure seamless integration of AI solutions with enterprise applications, APIs, and databases.
• Establish frameworks for AI quality, security, reliability, and scalability.

4. Business Development & Commercial Growth

• Work closely with executive leadership and clients to identify AI-driven business opportunities.
• Lead client discussions, solution presentations, technical consulting, and AI transformation engagements.
• Identify opportunities to develop new AI products, platforms, and revenue-generating services.
• Support pre-sales activities, solution proposals, RFPs, and strategic client engagements.
• Build strategic partnerships with AI technology providers and industry stakeholders.
• Define commercial strategies and demonstrate measurable ROI from AI initiatives.
• Take ownership of converting innovative ideas and proof of concepts into commercially viable solutions.
• Build and lead high-performing AI/ML engineering, architecture, and data science teams.
• Mentor technical leaders and develop organisational AI capabilities.
• Establish a culture of innovation, experimentation, and continuous learning.
• Manage delivery priorities, resources, budgets, and technical performance.
• Collaborate with engineering, product, sales, and business leadership teams.

6. AI Governance & Responsible AI

• Establish responsible AI frameworks and governance practices.
• Ensure compliance with applicable UK and European data protection and AI regulations.
• Address AI security, privacy, model bias, transparency, and ethical considerations.
• Define processes for model validation, monitoring, and risk management.

Required Skills & Experience

• 12-18+ years of experience in technology, software engineering, AI/ML, or enterprise technology leadership.
• Proven experience leading AI strategy, architecture, and implementation initiatives.
• Strong understanding of Generative AI, LLMs, and Agentic AI.
• Hands-on experience building and deploying AI agents and multi-agent systems.
• Experience with RAG architectures, vector databases, embeddings, and LLM integration.
• Strong technical understanding of Python and modern AI/ML frameworks.
• Experience with frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent.
• Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Understanding of MLOps/LLMOps, model deployment, monitoring, and scalability.
• Experience integrating AI solutions with enterprise systems, APIs, and databases.
• Strong understanding of data architecture, AI security, and governance.
• Proven experience managing technical teams and delivering enterprise-scale solutions.

Leadership & Business Competencies

• Strong entrepreneurial mindset with the ability to build and scale new AI capabilities.
• Ability to connect technology strategy with business growth and commercial objectives.
• Experience engaging with senior executives, enterprise clients, and technology partners.
• Strong client-facing, consulting, and business development capabilities.
• Ability to identify market opportunities and convert them into innovative AI solutions.
• Excellent communication, leadership, and stakeholder management skills.
• Comfortable working in a fast-paced, evolving technology environment.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline.
• Previous experience as Head of AI, VP of AI, AI Director, CTO, or equivalent leadership role.
• Experience building AI practices, products, or consulting capabilities from the ground up.
• Experience in technology consulting, product engineering, or digital transformation.
• Demonstrated success in taking AI initiatives from proof of concept to production and commercial scale.

Ideal Candidate Profile

The ideal candidate will be a technology leader who combines strategic vision with practical execution. They should be equally comfortable defining an AI roadmap, leading engineering teams, presenting solutions to clients, and identifying new business opportunities.

This is an opportunity for an entrepreneurial AI leader to shape and grow the organisation's AI capabilities and establish a strong market presence in enterprise AI solutions.

Security Clearance Requirement

Security clearance is a project-specific requirement and may be required depending on the nature of the client engagement. Candidates may be required to obtain or hold valid UK Security Clearance (SC) for specific projects, subject to client and project requirements.

ABOUT BRICKRED SYSTEMS

BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.