CAREERS


Join Expleo’s AI Team

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Shape the future of artificial intelligence

As an AI Solutions Architect, you design modern AI solutions, present them to clients, and translate cutting-edge technologies into real services and products.

You work with businesses to capitalise on game-changing technologies such as AI agents and automation, integrating them within complex, enterprise architectures to deliver real business value.

With your skills in machine learning, LLMs, reinforcement learning, cloud architectures and software engineering you create solutions that work, scale and deliver real value for customers.

You also collaborate closely with experts in data engineering, cloud, security, software development, consulting and project management, bringing AI ideas from concept to implementation in real-world environments.

Sound like you? 

Then you’re in the right place.
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What our team delivers

A glowing AI microchip sits on a circuit board with digital blue lights and circuitry patterns, symbolizing advanced artificial intelligence technology and data processing.

Development of scalable AI architectures

A person interacts with a smartphone displaying a virtual AI agent interface. Digital icons representing automation, emails, code, and workflow surround the central AI agent graphic, indicating technological connectivity.

Design and integration of AI agents and automated workflows

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Consulting and technical concepts for clients across diverse industries

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Prototyping, PoCs and implementation of production-ready AI solutions

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Close collaboration with technical and business stakeholders

A glowing hand holds a digital globe with circuitry and a microchip icon at its center, surrounded by swirling neon lines, representing advanced technology and artificial intelligence.

Identifying new AI opportunities within existing processes

“We work across so many different industries. That gives us the potential to bring AI into a broad range of sectors - and that makes the work incredibly exciting.”
A man with light skin, short red hair, and a full red beard is smiling. He is wearing a blue suit jacket and a white shirt, standing in a bright office with glass walls in the background.
Christopher AI Solutions Architect
“At Expleo, I’m constantly pushed beyond my comfort zone. I don’t just cultivate one area of expertise. I continuously build new knowledge, and my colleagues support me tremendously. This learning culture is something special.”
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Jens
AI Solutions Architect
“For me, the most important things are the team, the colleagues and the flexibility. At Expleo, you have the freedom to bring ideas to life and take on responsibility. That’s what makes the role so appealing.”
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Leon
AI Solutions Architect

A day in the life of an AI Solutions Architect at Expleo

Morning
• Checking emails
• Aligning with clients and project teams
• Clarifying and prioritising technical requirements
Late morning
• Creating architecture drafts
• Workshops or virtual meetings with data engineers and development teams
• Discussing new AI opportunities for ongoing projects
Midday
• Team discussions about emerging trends (LLMs, agents, MLOps)
• Joint brainstorming sessions for solution designs
Afternoon
• Developing prototypes and proofs of concept
• Integrating or testing new models
• Documentation and preparing client presentations
Late afternoon
• Risk assessment, technical refinement and architecture fine-tuning
• Evaluating new tools, frameworks and agent technologies
End of day
• Project status updates
• Planning the next steps
• Time for personal learning and development

Entry-level requirements​

  • hard skills
  • Experience in AI / machine learning / software development
  • Strong proficiency in Python and modern ML frameworks
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Basic understanding of MLOps, DevOps or AI agents
  • Ability to communicate technical solutions clearly
  • Architectural thinking and analytical problem-solving
  • soft skills
  • Curiosity and willingness to learn
  • Confidence to experiment with new technologies
  • Strong communication and presentation skills
  • Openness to collaboration
  • Ability to step outside your comfort zone
  • Enthusiasm for creative technical solutions

What you will be learning with our team

  • hard skills
  • AI architecture design in enterprise environments
  • Working with AI agents, LLM ecosystems and reinforcement-learning concepts
  • Modern MLOps structures and best practices
  • Industry knowledge across automotive, public sector, finance, life sciences and more
  • soft skills
  • Client consulting and stakeholder management
  • Technical facilitation and leading workshops
  • Prioritisation and solution design
  • Working in cross-functional, international teams

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