Role overview
We are looking for a Senior AI Engineer to join our growing team of data and AI professionals. In this role, you'll help our clients solve real-world problems by designing and building AI-powered solutions that drive meaningful outcomes. You’ll work hands-on with machine learning, generative AI, MLOps/LLMOps and cloud platforms—developing impactful applications across industries like energy, manufacturing, retail, health, mobility and more.
To get a sense of our work, explore our Neste AI assistant project and our experiment-driven approach to AI delivery. We work across a wide range of challenges, and no two projects look the same. To get a feel for the breadth of what we do, take a look at our Service Lines.
At Futurice, AI is not just about models. It’s about concrete business value. You'll be involved in projects from early exploration and experimentation to scalable, production-grade deployment—bridging the gap between business, technology, and people.
As a senior team member, you'll also mentor others, contribute to our AI strategy and practices, and play a key role in shaping how we work with AI in a responsible and ethical way.
What you'll work on
- Design, develop and deploy machine learning and AI solutions, including generative AI applications (leveraging LLMs and multimodal foundation models)
- Collaborate in cross-functional teams with designers, developers, and domain experts
- Contribute to client workshops and technical discovery sessions
- Build production-ready pipelines using MLOps best practices
- Leverage cloud platforms such as Azure, AWS, or GCP
- Continuously improve how we use and implement AI in a sustainable and ethical way
- Mentor junior engineers and share knowledge within the team
Interview process
If this sounds like the opportunity you’re looking for, please submit your application.
Our form is simple: share your contact details and upload your attachments. We’d love to see your CV and a few lines about yourself and why you want to join Futurice. You can also include links to your LinkedIn or any other materials you find relevant.
After we receive your application, we’ll be in touch. If you move forward, the process includes:
- First conversation (60 min, Google Meet)
You will meet two Futurice team members, get to know them, and have the opportunity to introduce yourself while learning more about Futurice, the role, and our ways of working. - Skills-based interview (90 min, Live)
A deep dive into your skills with two of our data consultants. We’ll review your problem-solving approach and skills. - Role, expectations & projects interview (60 min, Live or Google Meet)
A conversation focusing on your potential role, expectations, and upcoming projects. This interview is typically with your potential supervisor and a Principal-level team member.
Reference calls are also a standard part of our recruitment process.