Senior Principal AI Engineer

Senior Principal AI Engineer

Full-Time 80000 - 100000 € / year (est.) Home office (partial)
Expleo

At a Glance

  • Tasks: Design and deliver cutting-edge AI solutions for complex client environments.
  • Company: Join a collaborative tech company that values innovation and teamwork.
  • Benefits: Enjoy competitive benefits, skill development, and inspiring projects.
  • Other info: Inclusive workplace committed to diversity and personal growth.
  • Why this job: Make a real impact with AI while mentoring the next generation of engineers.
  • Qualifications: Strong AI engineering experience and excellent communication skills required.

The predicted salary is between 80000 - 100000 € per year.

We are seeking a Senior Principal AI Engineer to design, build, and deliver production‑grade AI solutions for complex client environments. This role blends hands‑on AI engineering, technical leadership, and client‑facing consulting, with a strong focus on scalable, secure, and responsible AI delivery. You will work closely with clients and internal teams to translate business problems into engineered AI solutions, covering the full lifecycle from data ingestion through to deployment, monitoring, and optimisation.

Responsibilities

  • AI Engineering & Delivery
    • Design, develop, and deploy end‑to‑end AI/ML solutions, including classical ML and generative AI use cases.
    • Build and maintain production‑ready AI pipelines (data ingestion, feature engineering, model training, evaluation, deployment, monitoring).
    • Apply MLOps best practices, including CI/CD for models, versioning, automated retraining, monitoring, and rollback.
    • Ensure AI solutions are scalable, secure, performant, and reliable in real‑world environments.
  • Architecture & Technical Leadership
    • Define AI solution architectures aligned to client needs, constraints, and long‑term sustainability.
    • Set and uphold engineering standards for AI development, testing, deployment, and monitoring.
    • Evaluate and introduce emerging AI technologies (e.g. GenAI, LLMs, vector databases) where they deliver clear value.
  • Client Engagement
    • Engage directly with clients to understand AI use cases, data readiness, risks, and success criteria.
    • Lead technical workshops and solution design sessions with client stakeholders.
    • Act as a trusted technical adviser, guiding AI feasibility, trade‑offs, and implementation strategy.
  • Responsible AI & Governance
    • Embed Responsible AI principles including explainability, bias mitigation, auditability, and data privacy.
    • Ensure compliance with data protection regulations (e.g. GDPR) and industry standards.
  • Team & Capability Development
    • Mentor AI engineers and data scientists, providing technical guidance and code/model review.
    • Contribute to internal accelerators, reusable components, and AI delivery playbooks.

Essential skills

  • Solid software engineering background (Python required; additional languages a plus).
  • Ability to communicate complex technical concepts clearly to non‑technical stakeholders.

Experience

  • Strong experience as an AI Engineer, ML Engineer, or similar role delivering production AI systems.
  • Experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit‑learn).
  • Proven experience with MLOps and deploying models into live environments.
  • Cloud experience (Azure, AWS, or GCP).

Benefits

  • Collaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges.
  • We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects.
  • ExpleoAcademy – enables you to acquire and develop the right skills by delivering a suite of accredited training courses.
  • Competitive company benefits.
  • Always working as one team, our people are not afraid to think big and challenge the status quo.

As a Disability Confident Committed Employer we have committed to:

  • Ensure our recruitment process is inclusive and accessible.
  • Communicating and promoting vacancies.
  • Offering an interview to disabled people who meet the minimum criteria for the job.
  • Anticipating and providing reasonable adjustments as required.
  • Supporting any existing employee who acquires a disability or long‑term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people.

“We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age”. We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.

Senior Principal AI Engineer employer: Expleo

As a Senior Principal AI Engineer at our company, you will thrive in a collaborative and inclusive environment that champions innovation and professional growth. We offer competitive benefits and access to ExpleoAcademy, empowering you to enhance your skills while working on inspiring projects that make a real impact. Join us in a culture where we challenge the status quo and support each other in delivering responsible AI solutions for our clients.

Expleo

Contact Detail:

Expleo Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Principal AI Engineer

Tip Number 1

Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those that highlight your experience with MLOps and production-grade solutions. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.

Tip Number 4

Don't forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Plus, it gives you a better chance to stand out in the application process.

We think you need these skills to ace Senior Principal AI Engineer

AI Engineering
Machine Learning (ML)
Generative AI
MLOps
CI/CD for models
Python
ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Principal AI Engineer role. Highlight your experience with AI engineering, MLOps, and any relevant projects that showcase your skills in building production-grade AI solutions.

Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've tackled complex AI challenges and how you can bring value to our clients and team.

Showcase Your Technical Skills:Don’t forget to mention your technical expertise! Include your proficiency in Python, ML frameworks like PyTorch or TensorFlow, and any cloud experience you have. We want to see how you can contribute to our AI solutions.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you on our radar quickly!

How to prepare for a job interview at Expleo

Know Your AI Stuff

Make sure you brush up on your AI and ML knowledge, especially around the frameworks mentioned like PyTorch and TensorFlow. Be ready to discuss your past projects and how you've tackled challenges in deploying production-grade AI solutions.

Showcase Your Client Engagement Skills

Since this role involves a lot of client interaction, prepare examples of how you've successfully engaged with clients in the past. Think about how you translated complex technical concepts into understandable terms for non-technical stakeholders.

Demonstrate MLOps Mastery

Be prepared to talk about your experience with MLOps best practices. Discuss how you've implemented CI/CD for models, managed versioning, and ensured automated retraining and monitoring in your previous roles.

Emphasise Responsible AI Principles

Familiarise yourself with Responsible AI principles such as explainability and bias mitigation. Be ready to discuss how you've incorporated these principles into your work and how you ensure compliance with data protection regulations like GDPR.