At a Glance
- Tasks: Lead a high-performing AI engineering team and deliver impactful AI solutions.
- Company: Dufrain, a leading data consultancy focused on unlocking data value.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team passionate about emerging technologies and continuous learning.
- Why this job: Shape the future of AI while working with cutting-edge technologies and diverse clients.
- Qualifications: Strong consulting skills, technical expertise in AI, and leadership experience.
The predicted salary is between 80000 - 100000 € per year.
Dufrain is a pure-play data consultancy specialising in helping businesses unlock the true value of their data by providing market-leading data solutions and services which includes developing strategies for AI readiness, improving data literacy and culture, enhancing real-time reporting, and managing data from mergers and acquisitions.
We are seeking an AI Engineering Lead who combines strong consulting, communication, and stakeholder engagement skills with deep technical expertise. You will translate complex AI concepts into clear, actionable direction for senior business and technical audiences, shaping client thinking and ensuring solutions deliver real business value. In this role, you will lead and grow a high‑performing AI engineering team, setting engineering standards, guiding delivery quality, and providing hands‑on technical leadership across multiple projects. You will ensure solutions are robust, scalable, responsibly designed, and aligned to client needs, acting as a trusted advisor to help clients understand AI opportunities and make confident delivery decisions. This is a client‑facing, engineering‑led position suited to someone with strong curiosity, a passion for emerging technologies, and a proven track record of taking AI solutions into production.
Requirements
- Consulting & Communication Skills
- Proven ability to engage, influence, and build trust with senior stakeholders, both technical and non-technical.
- Exceptional communication skills, able to simplify complex concepts and guide discussions with clarity, empathy, and authority.
- Experience leading workshops, shaping solution options, and supporting decision-making in ambiguous or high stakes environments.
- Strong consulting mindset: structured problem-solving, ability to frame challenges, articulate trade-offs, and align teams around a shared approach.
- Leadership & Delivery
- Experience overseeing the technical delivery of projects, guiding engineers, and holding delivery teams to high-quality engineering standards.
- A proactive, accountable mindset with the ability to structure work, identify risks early, and drive solutions.
- Technical Expertise
- Proven experience delivering AI solutions into production, ideally in enterprise or regulated environments.
- Strong software engineering fundamentals (Python essential).
- Experience with cloud AI services and modern data platforms (e.g. Azure AI Foundry, Azure ML, Databricks, Amazon SageMaker, Bedrock, etc.).
- Practical understanding of MLOps practices, including CI/CD, IaC, model monitoring, and operational observability.
- Personal Attributes
- Strong consulting presence with the ability to command a room, communicate with clarity, and guide client decision-making with confidence and empathy.
- Passion for learning, particularly emerging AI technologies.
- Collaborative team player who enjoys mentoring others.
AI Engineering Lead employer: Description Dufrain
Dufrain is an exceptional employer that fosters a dynamic and innovative work culture, where employees are encouraged to explore emerging technologies and develop their skills in AI engineering. With a strong focus on employee growth, Dufrain offers opportunities for professional development and hands-on leadership experience, all while working in a collaborative environment that values trust and communication. Located in a vibrant area, the company provides a unique chance to engage with diverse clients and make a meaningful impact through cutting-edge data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Lead
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and data consultancy space. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and solutions. This could be anything from GitHub repositories to case studies. When you apply through our website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI Engineering Leads and practice your responses. Be ready to discuss how you've tackled complex problems and led teams in the past. Remember, it’s all about demonstrating your consulting and communication skills!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind. Plus, it’s a great opportunity to reiterate why you’re the perfect fit for the position.
We think you need these skills to ace AI Engineering Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the AI Engineering Lead role. Highlight your consulting and communication skills, as well as your technical expertise in AI solutions. We want to see how your experience aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can lead our engineering team. Keep it clear and engaging, showing us your personality and enthusiasm for the role.
Showcase Your Projects:If you've worked on any AI projects, make sure to mention them! We love seeing real-world examples of your work, especially if they demonstrate your ability to deliver AI solutions into production. Don't hold back!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Description Dufrain
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and solutions relevant to the role. Be ready to discuss your experience with cloud AI services and MLOps practices, as well as how you've successfully delivered AI solutions in the past.
✨Communicate Clearly
Practice simplifying complex AI concepts into clear, actionable insights. You’ll need to demonstrate your ability to engage with both technical and non-technical stakeholders, so think about how you can explain your ideas with clarity and empathy.
✨Show Your Leadership Skills
Be prepared to share examples of how you've led teams and ensured high-quality delivery in previous projects. Highlight your proactive mindset and how you've structured work to identify risks early and drive effective solutions.
✨Engage with Curiosity
Demonstrate your passion for emerging technologies and your curiosity about the future of AI. Ask insightful questions during the interview that show your interest in the company’s approach to data consultancy and AI readiness.
