UK

United Kingdom · Technical roles · Director/VP (16-20 years)

Director, AI Solutions

Here is the whole job, in plain words. What it is, a real day, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

  • Experience bandDirector/VP (16-20 years)
  • Direct reports25-100+ reports
  • Reports toVP, AI Strategy & Solutions
  • UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as Head of AI Delivery · VP of AI Engineering · Senior Director of Machine Learning

Built on an analysis of 43,079 real UK job descriptions · grounded in qualifications employers recognise

Start with a free Future Fluency check, tuned to Director, AI Solutions

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1What this role really is

This role is about driving the strategy and execution of our AI solutions portfolio, making sure we're building the right things and getting them to clients effectively. You'll be leading a significant chunk of our technical capability, shaping how we deliver value through AI across the business unit. It's less about writing code now and more about setting the vision, empowering your teams, and ensuring our AI efforts genuinely move the business forward.

2What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Cloud ML Platforms (AWS SageMaker, GCP Vertex AI, Azure ML Studio)Strategic

Leading platform selection decisions, designing enterprise-wide MLOps governance and security policies on the chosen platform, and overseeing cost optimisation strategies. You're setting the standards for how we use these.

Python ML Ecosystem (TensorFlow, PyTorch, Hugging Face)Strategic

Setting standards for library usage across your teams, evaluating emerging frameworks for their potential business impact, and driving the 'build vs. buy' decisions for core ML capabilities. You're defining the toolkit.

Data Platforms (Snowflake, Databricks, Collibra)Architect

Designing the end-to-end data flow for enterprise AI solutions, ensuring integration with data governance tools like Collibra, and influencing the broader enterprise data strategy to support AI initiatives.

Containerization & Infra (Docker, Kubernetes, AWS Lambda)Strategic

Architecting scalable, resilient MLOps infrastructure, making strategic decisions on Kubernetes vs. serverless approaches for model serving, and ensuring our deployment pipelines are robust and secure.

Collaboration Suite (Jira, Confluence, Tableau Server, Domo)Strategic

Integrating project management data with executive dashboards (e.g., Tableau Server, Domo) to provide portfolio-level visibility on AI initiatives, setting standards for documentation, and ensuring effective cross-team communication.

Demo & Viz Tools (Streamlit, Gradio, Power BI, Tableau)Strategic

Defining the standards and toolkits for solution demonstrations across the organisation to ensure a consistent, high-impact client experience, and ensuring your teams can effectively communicate complex AI results visually.

3What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing inWhere you are nowThe step above
Strategic AI Initiative ApprovalNo authority. Inform supervisor of ideas.Propose initiatives to manager.Lead proposal development, recommend to Director.
Team Hiring & Organisational StructureNone.Provide input on candidate fit.Interview candidates, provide strong recommendations.
Technology Stack & Platform SelectionUse approved tools.Recommend new tools for specific projects.Evaluate and propose new tools/platforms for workstreams, with Director approval.
Budget Allocation & P&L ManagementManage personal expenses.Manage project-level budgets (e.g., £5K).Manage workstream budgets (e.g., £50K).

4How you'll be judged

The scoreboard, honestly: the hard targets, how often each one is actually looked at, and the quiet human signals that never make it onto a dashboard.

AI Solutions Portfolio Revenue Contribution
The direct revenue generated or influenced by the AI solutions under your remit.
Target · Exceed £5M in new or retained revenue annually.

In Q2, new client deployments of our AI-powered recommendation engine added £1.5M to the top line, contributing to a total of £6.2M for the year.

Operational Efficiency Gains from AI
Documented cost savings or efficiency improvements delivered to clients or internal operations through your team's AI solutions.
Target · Deliver >£2M in documented savings or efficiency gains annually.

An AI-driven fraud detection system implemented for a client reduced their manual review costs by £750K per quarter, hitting £3M in annualised savings.

AI Capability Uplift & Reusability
The number of reusable AI solution accelerators or frameworks developed and deployed, and their impact on future development time.
Target · Develop and deploy 2-3 significant reusable assets per year, reducing average project delivery time by 25%.

The new MLOps framework reduced the average time to deploy a new model from 6 weeks to 3 weeks for three subsequent projects.

Team Retention & Development
Retaining top talent within your teams and ensuring their professional growth.
Target · Maintain >85% voluntary retention rate, with at least 20% of team members advancing to the next level annually.

Despite a competitive market, your team's retention was 90% last year, and 15 specialists progressed to Senior roles.

Strategic Influence & Vision
How effectively you shape the AI strategy for the business unit and align it with overall company goals.
  • Being proactively invited to C-suite strategy sessions
  • your proposals for new AI initiatives consistently gain executive sponsorship
  • your team's work is regularly cited in investor presentations as a key differentiator.
Client & Stakeholder Trust
The level of confidence and reliance key internal and external stakeholders place in your team's ability to deliver complex AI solutions.
  • Clients specifically ask for your team on new, high-stakes projects
  • other Directors seek your input on their strategic roadmaps
  • you're seen as the go-to person for 'what's possible with AI' discussions.
Innovation & Market Leadership
Your contribution to positioning the company as an innovator in AI solutions within the industry.
  • Your teams are regularly experimenting with and integrating new AI techniques (e.g., LLMs, Generative AI)
  • your work leads to industry awards or recognition
  • you're asked to speak at industry conferences about our AI approach.
Organisational Health & Culture
Fostering a high-performing, collaborative, and inclusive culture within your teams and across the broader Technical_roles department.
  • High engagement scores in team surveys
  • strong cross-functional collaboration on complex projects
  • your teams are actively contributing to knowledge sharing and community building
  • a visible commitment to diversity and inclusion.

5Would you like it

The honest version. What people enjoy, and what grinds them down.

What people enjoy
Building High-Impact AI Capabilities

You'll be spending your days defining what our AI solutions look like in 2-3 years, making sure we have the right people and tech to get there. This means shaping the team, setting technical direction, and seeing your vision become a reality that genuinely changes how our clients operate.

You'll lead the charge on developing our next-gen generative AI platform, seeing it evolve from a strategic concept to a deployed product used by hundreds of clients.

Driving Business Transformation & P&L Growth

Your focus will be on the bottom line. You'll be constantly looking for opportunities where AI can unlock new revenue streams, drastically cut costs, or create a significant competitive advantage. This means working closely with sales, product, and finance to identify and prioritise the most impactful initiatives.

You'll oversee the launch of an AI-powered service that generates £3M in new annual recurring revenue within its first year.

Mentoring & Developing Future AI Leaders

A big part of your role is growing your people. You'll be spending time coaching your managers, identifying high-potential individuals, and creating career pathways for your teams. You'll get satisfaction from seeing your team members succeed and take on bigger challenges.

You'll establish a leadership development programme for your Lead and Senior Specialists, helping them prepare for management roles.

What frustrates people
  • Getting executive buy-in for long-term AI investments when short-term pressures are high
  • Dealing with legacy systems and data silos that hinder AI deployment
  • Managing the expectations of non-technical stakeholders who think AI is magic
  • Recruiting and retaining top-tier AI talent in a highly competitive market
  • The slow pace of change in large organisations when you're trying to innovate quickly
What this role does not give you
  • Daily coding opportunities
  • A predictable, unchanging technical roadmap
  • Low-pressure, low-stakes work
  • Complete autonomy without strategic alignment
  • A small, intimate team environment

6Who you work with

This role directly shapes the AI capabilities of a business unit, influencing its market position, revenue streams, and operational effectiveness. Your decisions will affect millions in P&L and the careers of dozens of technical professionals.

Inside the business
  • C-Suite (CTO, CEO, CPO)
  • Heads of Product Management
  • Sales & Marketing Leadership
  • Finance Director
  • Legal & Compliance Teams
  • Other Business Unit Directors
Outside the business
  • Strategic Client Executives
  • Key Technology Vendors
  • Industry Analysts
  • Potential Acquisition Targets
  • Regulatory Bodies

7What you need before you start

Not a wish list. The things you would be expected to already have.

  • Proven track record of leading and scaling large technical teams (25+ people) in an AI/ML context.
  • Extensive experience (16+ years) in designing, building, and deploying complex AI solutions from PoC to production at an enterprise level.
  • Demonstrable experience managing significant P&L (£2M+) and budgets for technical departments or product portfolios.
  • A deep understanding of MLOps principles and practices, with experience in establishing governance and best practices.
  • Exceptional executive communication skills, with a history of presenting to C-suite, board members, and major clients.

8What to practise next

Where the job is going, and what to do about it starting this week.

Advanced Prompt Engineering & LLM Orchestration

Generative AI is rapidly becoming a core component of many solutions. Your teams will need to move beyond basic prompting to orchestrate complex LLM workflows, integrate them with proprietary data (RAG), and ensure reliable, hallucination-free outputs at scale.

Multi-Agent LLM Systems · Advanced RAG Architectures · LLM Evaluation & Guardrails · Fine-tuning & Custom Model Development · Cost Optimisation for LLM Inference

  • This quarter: Ensure all your teams have access to and are actively using advanced AI coding assistants and LLM APIs for daily tasks.
  • Next 6 months: Mandate that new projects explore LLM integration where appropriate, and allocate dedicated R&D time.
  • Within 12 months: Establish a centre of excellence or a dedicated working group focused on LLM best practices, prompt engineering, and safety.
  • Regularly review the market for new LLM providers and open-source models that could offer a competitive advantage.

Quick win: Challenge your teams to automate one significant internal reporting or documentation task using LLMs within the next month.

9Staying current once you are in

What people here do to keep up
  • Regularly attending and speaking at major AI/ML conferences (e.g., NeurIPS, ICML, KDD, Re:Invent).
  • Participating in executive leadership programmes focused on technology and innovation.
  • Engaging with industry consortia or working groups on AI standards and ethics.
  • Mentoring emerging leaders within the organisation and externally.
  • Publishing thought leadership pieces on AI strategy, MLOps, or specific industry applications.

10How the AI economy is changing work like this

Before we ask anything of you, here's what we can already say about AI and work of this kind:

The new skill this role is being asked for: Ethical AI & Responsible Governance

Regulators are getting serious about AI ethics, and clients are demanding transparency and fairness. A single AI bias incident can cause massive reputational and financial damage. This isn't just a technical problem; it's a leadership challenge.

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

Your PlanIllustration

Built for Director, AI Solutions

5 units that map to this job, from the qualifications that cover it.

  1. Data Science FoundationsOTHM Qualifications · covers 3 of 7 standardsLevel 7
  2. Applications of Machine Learning and Artificial IntelligenceATHE Ltd · covers 1 of 7 standardsLevel 7
  3. Artificial IntelligenceNCC Education Limited · covers 3 of 7 standardsLevel 5
  4. Data AnalyticsPearson Education Ltd · covers 3 of 7 standardsLevel 5
  5. Machine Learning AlgorithmsOCN London · covers 1 of 7 standardsLevel 5
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Ethical AI & Responsible Governance

Regulators are getting serious about AI ethics, and clients are demanding transparency and fairness. A single AI bias incident can cause massive reputational and financial damage. This isn't just a technical problem; it's a leadership challenge.

  • AI Fairness & Bias Detection
  • Explainable AI (XAI) for Decision-Making
  • AI Auditability & Traceability
  • Privacy-Preserving AI
  • Human-Centred AI Design

Quantum Machine Learning (Strategic Awareness)

While still nascent, quantum computing has the potential to revolutionise certain AI tasks (e.g., optimisation, complex pattern recognition) far beyond what classical computers can do. As a Director, you need to understand its potential and limitations to inform long-term R&D investments and strategic partnerships.

  • Quantum Computing Fundamentals
  • Quantum Algorithms for ML
  • Hybrid Quantum-Classical Approaches
  • Quantum Machine Learning Libraries
  • Strategic Implications & Use Cases

What you’ll use

Skills this role draws on

Technical

  • Enterprise AI Solution Architecture
  • MLOps Strategy & Governance
  • Proof of Concept to Production (Portfolio Management)
  • Business-to-Technical Translation (Executive Level)
  • Model Evaluation & Selection (Strategic Alignment)
  • AI Use Case Discovery & Prioritisation (Market & Business Unit)

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    From Principal AI Solutions Specialist

    3-5 years as a Principal

    Skills to master

    • Moving from deep technical leadership to broader team and portfolio management, strategic decision-making, and executive communication.

    You're ready to move on when

    • Consistently delivering highly complex, impactful AI solutions
    • Mentoring multiple Senior/Lead Specialists
    • Influencing cross-functional strategy
    • Demonstrating strong client relationship skills at a senior level
  2. 2

    From Head of AI Engineering / MLOps

    4-6 years in a similar leadership role

    Skills to master

    • Expanding from an engineering focus to include broader business strategy, P&L management, and client engagement.

    You're ready to move on when

    • Successfully built and scaled MLOps platforms
    • Managed large engineering teams
    • Demonstrated strong architectural decision-making
    • Proven ability to translate technical capabilities into business value
  3. 3

    From Senior AI Product Lead (with strong technical background)

    5-7 years in senior product leadership

    Skills to master

    • Deepening technical understanding of AI implementation, leading large technical delivery teams, and managing the operational aspects of AI solutions.

    You're ready to move on when

    • Successfully launched multiple AI-powered products
    • Demonstrated strong understanding of AI capabilities and limitations
    • Effectively managed product P&L
    • Proven ability to work closely with engineering teams

11Where this role leads

The long view:This role isn't just a job; it's a launchpad for a career at the forefront of technological innovation. We're looking for someone who wants to leave a lasting mark on our company and the industry, building the AI solutions that define the future.

Pay & demand

Pay and demand for this role will appear here, each figure traced to a named authoritative source (e.g. the ONS Annual Survey of Hours and Earnings, under the Open Government Licence). We don’t show numbers we can’t attribute.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Director, AI Solutions is actually changing. In about two minutes, the free confidence check asks where you stand on each of the ten. That's the whole check, and it's what makes the plan yours rather than generic.

Where it leads

Roles this leads to

12The team that's yours

No two people are taught the same way. This is one-to-one, not one-to-many.

Zavmo is a hyper-personalised AI learning platform. Twelve virtual tutors, each with a different way of teaching, and one orchestration agent that picks the right one for the moment. So every single lesson is shaped around you, your role, and the way you learn. Not a course everyone sits through. A conversation built for you, and no one else.

…and nine more, matched to you after your first chat. Meet all twelve

Start free and meet yours

13What it feels like

A conversation, not a course

Because your tutor knows your role, your projects and your last session, learning sounds like this. And it's different for every single person:

Data Science FoundationsLevel 7

Applied to your work in Director, AI Solutions

1. To enable the learner to define the scope and landscape of Data Science and differentiate the roles of Data Scientists from other IT professionals. 2. To enable the learner to evaluate key topics within Data Science, including data administration, governance, and big data sources. 3. To enable the learner to describe the architecture and core elements of Apache Hadoop. 4. To enable the learner to analyse the advantages and disadvantages of utilising Artificial Intelligence techniques in a business context. 5. To enable the learner to critically analyse the impact of Big Data on digital transformation within organisations and its effects on users. 6. To enable the learner to review strategies for ensuring data compliance and explain the responsibilities and challenges faced by data specialists.

How the thinking builds
  1. Remember
  2. Understand
  3. Apply
  4. Analyse
  5. Evaluate
  6. Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

One to one, not one to many

No two people run this the same way

A course is written once and handed to everyone. This is assembled around you, and keeps changing as it learns you. Five things it reads, and what each one changes.

  1. Your actual work Every lesson is taught against a live piece of your own work, not a worked example from a textbook.
  2. What you already know The first conversation finds your starting point, so you skip what you can already do and spend the time on what you cannot.
  3. The conditions you learn under Not a learning-styles quiz. The evidence does not support those. The dimensions the research does back, read once and used to shape the plan.
  4. How far you got last time It picks up mid-thought. The tutor knows what you said, what you struggled with, and what it asked you to try.
  5. Which tutor suits the moment Twelve of them, each for a different kind of thinking. The one who walks you through a first idea is not the one who stress-tests it.

See how you learn, free. Eight questions, no sign-up. A directional taster; the diagnostic inside Zavmo goes deeper and keeps adapting.

DemonstrateIllustration

Evidenced on your work in Director, AI Solutions

You do not finish by watching something. You finish by showing it on the work you already do, against the measures this job is judged on.

  • AI Solutions Portfolio Revenue ContributionThe direct revenue generated or influenced by the AI solutions under your remit.In Q2, new client deployments of our AI-powered recommendation engine added £1.5M to the top line, contributing to a total of £6.2M for the year.Exceed £5M in new or retained revenue annually.
  • Operational Efficiency Gains from AIDocumented cost savings or efficiency improvements delivered to clients or internal operations through your team's AI solutions.An AI-driven fraud detection system implemented for a client reduced their manual review costs by £750K per quarter, hitting £3M in annualised savings.Deliver >£2M in documented savings or efficiency gains annually.
  • AI Capability Uplift & ReusabilityThe number of reusable AI solution accelerators or frameworks developed and deployed, and their impact on future development time.The new MLOps framework reduced the average time to deploy a new model from 6 weeks to 3 weeks for three subsequent projects.Develop and deploy 2-3 significant reusable assets per year, reducing average project delivery time by 25%.
  • Team Retention & DevelopmentRetaining top talent within your teams and ensuring their professional growth.Despite a competitive market, your team's retention was 90% last year, and 15 specialists progressed to Senior roles.Maintain >85% voluntary retention rate, with at least 20% of team members advancing to the next level annually.
These are this job's own measures, with its own targets. Nothing is marked evidenced, because nobody has started this yet. Yours would fill in from the work you bring.

Your passport

This isn't a certificate you file away. It's a passport to the life you're designing.

Every credit you earn and every fluency you build adds up: evidence where it counts, carried with you. Zavmo keeps the map: where you are, where you're heading, and the next step, at your pace, around your life. From Director, AI Solutions to VP, AI Strategy & Solutions (L7), and whatever you decide comes after.

Level 7 · in progressAI Fluency→ VP, AI Strategy & Solutions (L7)→ your design
Where this takes you

This role isn't just a job; it's a launchpad for a career at the forefront of technological innovation. We're looking for someone who wants to leave a lasting mark on our company and the industry, building the AI solutions that define the future.

See Your Progress GrowIllustration
Director, AI Solutions
  • Enterprise AI Solution Architecture
  • MLOps Strategy & Governance
  • Proof of Concept to Production (Portfolio Management)
  • Business-to-Technical Translation (Executive Level)
  • Model Evaluation & Selection (Strategic Alignment)
  • AI Use Case Discovery & Prioritisation (Market & Business Unit)
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

14The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Director, AI Solutions is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. VP, AI Strategy & Solutions (L7)

    3-5 years in the Director role

    From business unit leadership to enterprise-wide strategic leadership.

    • Defining company-wide AI policy and ethical frameworks
    • Driving strategic partnerships and ecosystem development
    • Influencing industry standards and regulatory bodies
    • Managing multi-million-pound P&L across the entire enterprise AI portfolio
Working with AI on the job

Working with AI

Where AI is starting to help

As a Director, your time is gold. You're constantly juggling strategic planning, team leadership, client engagements, and operational oversight. What if you could offload some of the heavy lifting to AI, freeing you up for truly impactful, high-level work?

We're not talking about AI writing your code (though your teams will use it for that). We're talking about AI as your strategic co-pilot, helping you synthesise market intelligence, analyse portfolio performance, and even draft those tough board-level communications. This isn't just about efficiency; it's about giving you superpowers to lead more effectively.

Strategic Portfolio Analysis with AI

Use AI to automatically analyse performance data across all your AI solutions, identifying trends, risks, and opportunities. Get instant summaries of project health, budget burn rates, and client satisfaction, allowing you to make data-driven decisions faster.

Executive Communication Drafts

Leverage generative AI to create first drafts of board reports, investor updates, strategic proposals, and even tricky internal communications. Provide a few key points, and get a polished, professional draft that saves you hours of writing and editing.

Market Intelligence & Competitor Insights

AI can continuously scan industry news, analyst reports, and competitor announcements, summarising key developments and highlighting potential impacts on your AI strategy. Stay ahead of the curve without drowning in information.

Team Performance & Skill Gap Analysis

Use AI-powered analytics to identify skill gaps across your large team, recommend personalised learning paths, and even predict potential attrition risks. This helps you proactively manage talent and build a stronger, more capable workforce.

Common questions

Common questions

How do you become a Director, AI Solutions?

Common routes in include From Principal AI Solutions Specialist (3-5 years as a Principal), From Head of AI Engineering / MLOps (4-6 years in a similar leadership role) and From Senior AI Product Lead (with strong technical background) (5-7 years in senior product leadership). Times vary with prior experience.

Where can a Director, AI Solutions progress to?

This role can lead on to VP, AI Strategy & Solutions (L7) (3-5 years in the Director role), depending on the skills you build.

What level is a Director, AI Solutions in the UK?

This role aligns to RQF Level 7 on the UK framework, a guide to the depth of qualification it maps to, not a hard entry bar.

What new skills matter most for a Director, AI Solutions?

Increasingly, Ethical AI & Responsible Governance and Quantum Machine Learning (Strategic Awareness). These are the areas where the higher-paid, future-proof work is heading.

The honest bit

You’ve started things before

Most of them were built for a room full of people who aren’t you. A cohort moves on whether or not your week allowed it, and by the third week the thing you’re behind on becomes the reason you stop opening it.

There’s no cohort here, and no timetable to fall behind. Before anything starts, Zavmo asks when you’re sharpest and how long you can realistically sit down for, then builds the sessions around those answers. A bad fortnight changes your pace. It doesn’t put you behind.

And you only pay once you start learning. Searching and planning are free, and you can cancel any time — so the cost of finding out is an afternoon, not a year.

What it costs

Less than one coaching session. Every month.

A single career-coaching hour costs more than a month of this, and it ends when the hour does. Zavmo doesn't. It's £70 a month, about £2.30 a day, for a companion that knows Director, AI Solutions, works on the job you actually do, and keeps going at your pace rather than a timetable's.

  • Searching and planning stay free. You only pay when you start learning.
  • Your credits are yours. Regulated, and they don't vanish when a subscription ends.
  • Cancel any time and billing stops. No notice period, no minimum term.

Your path, personalised

You have the map. Walking it is the part we do together.

This route runs to 7 national skill standards. That is a real journey.

Zavmo shapes a learning experience as unique as you are. It fits how you learn, your pace and the work you already do. Every step stays benchmarked to recognised national standards. That’s the plan for becoming a Director, AI Solutions: personal to you, and it still counts. The first steps are free.

Independent research finds well-designed intelligent tutoring performs nearly as well as one-to-one human tutoring: VanLehn (2011), Educational Psychologist.

A private tutor in the UK averages £35–40 an hour . Zavmo is £70/month.

A real plan on learn.zavmo.ai: Ofqual-regulated units, credits, and a three-month run at your own pace.
Start free No commitment. See your first steps free.

15Where to go from here

Other roles at Level 7

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

Other roles in Technical roles

Stay in the field you know and move sideways rather than up.

If you leave this industry

The skills you'll develop as a Director of AI Solutions are highly transferable. You could move into a similar leadership role in almost any industry that's adopting AI, from finance and healthcare to retail and manufacturing. You could also transition into venture capital, focusing on AI start-ups, or even found your own AI company.

Not sure this is the right direction?

Work out what you actually want from work first, then come back and see which roles fit it. Takes about ten minutes.

This role profile is © 2026Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Build my plan, free Here's the first ten minutes: a 2-minute confidence check → your personalised roadmap → meet the tutors matched to you. No card, cancel any time. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.