At a Glance
- Tasks: Lead the design and operation of cutting-edge AI solutions for clients.
- Company: Join Digital Futures, a rapidly growing tech company focused on innovation.
- Benefits: Enjoy competitive salary, tailored development plans, and hybrid working options.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact in AI while shaping the future of technology.
- Qualifications: Extensive experience in AI/ML systems and strong software engineering skills required.
The predicted salary is between 80000 - 100000 € per year.
Digital Futures is seeking an AI Engineering Lead who will be responsible for leading the design, build and operation of production‑grade AI solutions for clients, ensuring they are robust, scalable and secure across cloud and data platforms. The role provides technical leadership to AI and data engineers and sets engineering standards for AI delivery.
Key responsibilities
- Lead end‑to‑end engineering of AI products and platforms (including LLM, ML and automation use cases) from discovery through to production and ongoing optimisation.
- Define and own engineering standards, patterns and best practices for AI services, APIs, data pipelines and MLOps across cloud environments.
- Provide hands‑on technical direction to AI Engineers, ML Engineers and Data Engineers, including code reviews, solution design and troubleshooting.
- Collaborate with architects, product owners and client stakeholders to translate business requirements into scalable technical designs.
- Ensure solutions meet non‑functional requirements including performance, reliability, observability, security and cost‑effectiveness.
- Champion continuous improvement of engineering practices, tooling and automation within and across Expert Teams.
Skills & experience
- Extensive experience delivering AI/ML or data‑intensive systems into production in a consulting, product or enterprise environment.
- Strong software engineering background (e.g. Python, Java, or similar) with experience of modern development practices (CI/CD, testing, DevOps, Git‑based workflows).
- Hands‑on experience with major cloud and data platforms (e.g. AWS, GCP, Azure, Databricks, Snowflake) and associated AI/ML services.
- Familiarity with modern AI tooling (LLM frameworks, vector databases, orchestration/agent frameworks, MLOps tooling).
- Proven track record of leading technical teams, mentoring engineers and influencing technical decisions.
- Understanding of security, data privacy and responsible AI considerations in production systems.
Behaviours & mindset
- Acts as a builder who takes ownership of outcomes, not just code.
- Communicates clearly with both technical and non‑technical stakeholders.
- Enjoys mentoring others and raising the overall bar for engineering quality.
- Pragmatic and delivery‑focused, able to balance ideal architecture with real‑world constraints.
- Curious about emerging AI technologies and keen to experiment and learn.
What's in it for you?
- Tailored professional development plan and upskilling.
- Ability to make an impact at Digital Futures while it is in a period of accelerated growth.
- Access to our employee benefits, discounts and perks platform.
- Pension contributions.
- Wellbeing budget.
- Competitive salary.
- Hybrid working model with required office working days.
AI Engineering Lead employer: Digital Futures
Digital Futures is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to lead the charge in AI engineering. With a strong focus on professional development, competitive salaries, and a hybrid working model, team members can enjoy a balanced work-life while contributing to impactful projects during a period of accelerated growth. The culture fosters collaboration and continuous improvement, making it an ideal place for those looking to advance their careers in cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Lead
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that AI Engineering Lead role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs or ML solutions. We want to see your hands-on experience, so make sure to highlight any cloud platforms you've worked with, like AWS or GCP.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI principles. We recommend practicing common coding challenges and being ready to discuss your past projects in detail, especially how you’ve led teams and influenced technical decisions.
✨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 are proactive about their job search!
We think you need these skills to ace AI Engineering Lead
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI/ML systems and cloud platforms. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills:Don’t forget to mention your software engineering background and any hands-on experience you have with tools like Python or Java. We’re looking for someone who can lead technical teams, so let us know about your coding prowess and any CI/CD practices you’ve implemented.
Highlight Leadership Experience:Since this role involves leading a team, it’s crucial to demonstrate your experience in mentoring and guiding engineers. Share examples of how you've influenced technical decisions and improved engineering standards in your previous roles.
Apply Through Our Website:We encourage you 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 shows you’re keen on joining our team at Digital Futures!
How to prepare for a job interview at Digital Futures
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML systems, especially those relevant to the job. Be ready to discuss your experience with cloud platforms like AWS or Azure, and how you've implemented AI solutions in the past. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've successfully led technical teams before. Talk about your mentoring experiences and how you've influenced technical decisions. This will demonstrate your ability to guide others and set engineering standards.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to communicate with both technical and non-technical stakeholders, so being able to articulate your ideas clearly is crucial. Consider doing mock interviews with friends to refine your communication skills.
✨Be Curious and Open-Minded
Show your enthusiasm for emerging AI technologies and your willingness to experiment and learn. Prepare some questions about the company’s current projects or future directions in AI. This will not only demonstrate your curiosity but also your genuine interest in contributing to their growth.
