At a Glance
- Tasks: Lead AI strategy and innovation, driving enterprise transformation and developing AI-powered solutions.
- Company: Join BrickRed Systems, a global leader in technology consulting and workforce solutions.
- Benefits: Competitive salary, career growth, and a culture of continuous learning and collaboration.
- Other info: Opportunity to build high-performing teams and establish a strong market presence.
- Why this job: Shape the future of AI and make a real impact in a fast-paced environment.
- Qualifications: 12-18+ years in AI/ML, strong leadership skills, and experience with Generative AI.
The predicted salary is between 81000 - 99000 £ per year.
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 Lang Chain, Lang Graph, Semantic Kernel, Auto Gen, 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
Brick Red 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, Brick Red Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions.
Brick Red fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.
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AI Director in Watford employer: BrickRed Systems
As a leading employer in the technology and infrastructure sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. Our commitment to professional development ensures that you will have ample opportunities for growth and advancement while working on impactful projects that shape the future of workplace technology. Located in a vibrant area, we offer competitive benefits and a supportive environment that values diversity and inclusion, making us an excellent choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Director in Watford
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at BrickRed Systems or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to BrickRed Systems.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like BrickRed Systems.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like BrickRed Systems that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Director in Watford
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at BrickRed Systems.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at BrickRed Systems and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at BrickRed Systems
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If BrickRed Systems uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
