AI Engineers - building and scaling AI solutions
PA Consulting is hiring an AI Engineers - building and scaling AI solutions in Utrecht, Netherlands. Level rates it ; you can apply on PA Consulting.
Level's read on this job
- Level rates this AI engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions RAG and AI safety among its tools and skills.
- PA Consulting has 190 other open roles on Level.
- Posted in the last few days.
AI in this role
At PA Consulting, we are expanding our AI team in Utrecht. We are currently looking for AI Engineers who are motivated by hands-on work with AI solutions and who want to ensure that AI creates real value for organisations across a variety of industries.
We are looking both for AI Engineers with a few years of experience who are ready to take the next step in their careers, and for more experienced AI specialists who want to apply and further develop their technical capabilities in business-critical client projects. We are seeking colleagues with a practical, implementation-focused approach to AI and a passion for turning ideas and experiments into demonstrations and production-ready solutions for our clients. You thrive in ambiguous environments where innovation is encouraged, bringing a builder mindset and strong software engineering foundations to translate client requirements into practical technical solutions.
In this role, you will have the opportunity to:
Implement AI solutions in real-world settings
Advise clients on how AI tools can be technically matured and scaled
Help bridge the gap between business needs and technical solutions
You will become part of an ambitious and curious team where learning, enthusiasm for technology and a strong sense of community are highly valued. AI is a strategic growth area for PA, and there will be significant interest in your expertise, both in client engagements and across the wider organisation. We expect you to actively share your knowledge and be able to communicate complex technical topics in a clear and accessible way, including to colleagues and clients without a technical background.
At PA, we work across the entire AI lifecycle, from ideation and experimentation to fully implemented solutions, with a strong focus on quality, responsible AI and scalability. Projects vary, but they all share one common principle: AI is not a goal in itself, but a means of solving real business challenges for our clients.
Your work will include:
Designing, developing and testing AI and Generative AI solutions to address specific business needs
Experimenting with and applying modern AI technologies, including LLMs, RAG architectures and agent-based solutions
Integrating AI models with data, APIs and existing technology landscapes, designing cloud-native solutions on major cloud service providers (such as Azure, GCP)
Contributing to AI architecture, quality assurance, evaluation and the responsible use of AI
Sharing knowledge and learning collaboratively within PA’s active AI community
Developing production-grade software using modern engineering practices and agile delivery methodologies
Designing and building robust data pipelines and data engineering architectures to support AI/LLM applications.
You will join a supportive and highly skilled environment where you are not expected to know everything from day one, but where you will be given the opportunity to develop quickly through real projects, coaching and hands-on learning.
We are recruiting at several levels, so we encourage you to apply whether you have a few years of experience after graduation or many years of professional experience.
We are particularly interested in candidates who have:
- Professional experience working with AI, Generative AI, machine learning or data science
- Hands-on experience developing and experimenting with AI solutions, for example using LLMs, RAG or agent-based approaches
- Experience programming in Python or another relevant language
- A good understanding of how AI models can be integrated with data, APIs and existing technology environments
- Familiarity with cloud-based AI technologies, for example Azure, AWS or Google Cloud Platform
- The ability to understand business challenges and translate them into practical AI solutions
- The ability to collaborate across disciplines and communicate technical concepts in an understandable way
- A relevant degree in areas such as Data Science, Computer Science, Engineering, Mathematics or a related field
- Fluent in both English and Dutch*
*Please note that, to be considered for this role, you must be fluent in Dutch and based in the Netherlands.
What we offer
- A steep learning curve combined with a supportive, feedback-driven culture
- The opportunity to work hands-on with both emerging and established AI technologies
- Close collaboration with talented colleagues across the Netherlands and globally
- The chance to further develop your skills with a lot of freedom, both in breadth and depth
If this sounds like the right challenge for you, we encourage you to apply as soon as possible. We review applications and conduct interviews on an ongoing basis.
If you have any questions, you are welcome to contact:
Marie Witterseh Rasmussen (Talent Acquisition) at: Marie.WittersehRasmussen@paconsulting.com
Please submit your CV and application (in English) through our career site. We do not accept applications sent by email.
Company description
We are PA Consulting, and we are not a traditional consulting firm. We are different in what we do and how we do it. We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.
We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.
Our teams operate globally from offices across the UK, Ireland, Nordics, Netherlands and the US.
Diversity & inclusion
We are convinced that diversity makes us a stronger company and are happy to hire people from diverse backgrounds. Diversity fosters a rich, creative environment in which our people develop, and our customers achieve lasting results. We are committed to recruiting, promoting, and rewarding our people based on their ability to contribute to PA's goals, regardless of their gender, race, disability, religion, national origin, ethnicity, sexual orientation, age, or marital status. We welcome international applications, but we cannot offer sponsorship for work permits, so you must have the full right to live and work in the Netherlands.
How we rate this
AI Engineers - building and scaling AI solutions at PA Consulting rates 71 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $184k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: RAG and AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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