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- Tasks: Design and build AI systems with embedded governance and controls.
- Company: Dynamic consulting firm focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work environment, and opportunities for rapid career advancement.
- Why this job: Make a real impact by delivering cutting-edge AI solutions directly to clients.
- Qualifications: 4-7 years in consulting with strong AI system knowledge and delivery skills.
- Other info: Enjoy high autonomy and fast-paced, impactful projects.
The predicted salary is between 60000 - 84000 £ per year.
We are looking for someone who can build AI systems with governance built in - not just advise on it. This role is for a high-calibre operator (ex-Accenture, Big 4, or equivalent) who can step into a client environment, understand the problem quickly, and deliver working AI solutions with controls embedded from day one. If you prefer writing frameworks over building systems, this is not the role.
What you’ll do:
- Design and build AI-enabled workflows with governance and controls embedded
- Translate regulatory and risk requirements into real, working implementations
- Implement controls such as:
- Prompt security & injection safeguards
- Data access and lineage controls
- Output filtering and monitoring
- Human-in-the-loop checkpoints
What we’re looking for:
- Background in consulting
- Proven ability to build and deliver — not just advise
- Strong understanding of AI systems, workflows, or LLM-based applications
- Ability to translate governance, risk, or compliance requirements into technical controls
- Excellent communication — comfortable with senior stakeholders
- Fast, structured thinker who can operate in ambiguity
- Strong bias for execution and iteration speed
- Python-based AI prototyping and system integration (LLMs, APIs, basic cloud), with controls implemented in-code
What makes this role different:
- You will build, not write decks
- Governance is not theoretical — it is implemented in production systems
- Short, high-impact engagements — not long transformation programs
- High autonomy, high expectations, no layers
Years of experience: 4-7 years
AI Engineer consultant in London employer: T3
Contact Detail:
T3 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer consultant in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and consulting space. Attend industry events or webinars where you can meet potential employers or colleagues. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your skills through projects! Create a portfolio of your AI systems and workflows that demonstrate your ability to embed governance and controls. This hands-on evidence will speak volumes about your capabilities when you’re chatting with potential clients.
✨Tip Number 3
Prepare for interviews by practising real-world scenarios. Think about how you would tackle ambiguous problems and deliver solutions on the spot. We want to see your thought process, so be ready to explain your approach clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us!
We think you need these skills to ace AI Engineer consultant in London
Some tips for your application 🫡
Show Your Hands-On Experience: When applying, make sure to highlight your practical experience in building AI systems. We want to see how you've implemented governance and controls in real projects, so don’t just list your roles—give us the juicy details!
Tailor Your Application: Take a moment to customise your application for this role. Use the job description as a guide and align your skills and experiences with what we’re looking for. This shows us you’ve done your homework and are genuinely interested in the position.
Be Clear and Concise: We appreciate clarity! When writing your application, keep it straightforward and to the point. Avoid jargon unless it’s relevant, and make sure your key achievements stand out. We want to quickly grasp your capabilities.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at T3
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially how to embed governance and controls. Be ready to discuss specific examples of projects where you've implemented these features, as this will show you can deliver, not just advise.
✨Understand the Client's Needs
Before the interview, research the company and its clients. Think about how you would approach their problems and be prepared to share your thoughts on translating regulatory requirements into practical solutions. This shows you're proactive and client-focused.
✨Showcase Your Communication Skills
Since you'll be working with senior stakeholders, practice articulating complex ideas clearly and concisely. Prepare to explain your thought process and decisions in previous projects, demonstrating your ability to communicate effectively in high-pressure situations.
✨Demonstrate Your Iteration Mindset
Be ready to discuss how you approach prototyping, testing, and refining AI solutions. Share examples of how you've iterated quickly in past roles, highlighting your bias for execution and speed, which is crucial for this position.