Capgemini

Global consulting, technology services, outsourcing

AI Engineering Lead

Engineering LeadershipUpdated on Nov 14

Full-timeDiegem, Machelen, BelgiumIn-person

About the Job

Requirements

Proven hands-on experience with large language models, retrieval-augmented generation architectures, agentic workflows, and production artificial intelligence systems.
Demonstrated ability to lead senior engineers, influence stakeholders, and drive alignment across teams.
Commercial awareness, ability to position technology as business value, a strong network, and consulting experience working directly with clients at multiple levels of seniority.
Strong background in backend engineering, including Java or Python, and modern architectural patterns such as microservices, event-driven architecture, and domain-driven design.
Deep understanding of cloud-native platforms; Azure is preferred, while AWS and Google Cloud Platform are valued; experience with Kubernetes, continuous integration and continuous delivery, and Infrastructure as Code.
Experience designing systems that are secure, scalable, observable, and compliant in regulated environments.
Fluency in English; Dutch or French is a plus.

Responsibilities

Own the technical vision for complex, enterprise-level solutions spanning artificial intelligence, data, application, and platform engineering.
Design and oversee artificial-intelligence-native architectures, including large-language-model-driven systems, data platforms, integration layers, and cloud infrastructure.
Act as a hands-on technical authority by reviewing designs, challenging assumptions, prototyping critical components, and unblocking teams when needed.
Lead, mentor, and inspire senior engineers and tech leads, raising engineering maturity and craftsmanship.
Partner with clients at architect and executive level, translating business strategy into actionable technical roadmaps.
Identify opportunities for artificial-intelligence-driven differentiation and help shape proposals, offerings, and long-term client partnerships.
Contribute to internal and external visibility through thought leadership, engineering standards, speaking engagements, and community initiatives.
Drive a culture of ownership, learning, and continuous improvement across teams and domains.

Desired Qualifications

Experience in financial services, including regulatory, security, or data-privacy constraints.
Contributions to open source, publications, conference talks, or active involvement in engineering communities.
Fluency in Dutch.

AI Engineering Lead

About The Role

Are you the kind of engineering leader who sees AI as a strategic capability across the entire technology landscape? As an AI Engineering Lead at Blue Harvest, you operate at the intersection of software engineering, data, AI, and cloud platforms—driving end‑to‑end solutions for leading enterprises in the financial industry.

This is a senior, high‑impact role. You will define technical direction across domains, guide multiple teams, and work closely with clients and internal stakeholders to design and deliver enterprise‑grade, AI‑enabled systems. Beyond delivery, you will help shape our market proposition, grow our engineering community, and establish yourself as a trusted thought leader inside and outside Blue Harvest.

The Blue Harvest Story

We are a startup within an enterprise, a specialized unit built to move fast and break the 'consultancy' mold. We believe that true engineering leadership isn't about managing tickets, it's about owning the solution and challenging the status quo.

We foster a culture where technical mastery meets emotional intelligence. Whether it's hackathons, building the next 'secret weapon' for our engineering community or Friday afternoon beers, we are a place for those who want to speak, lead, and leave a legacy.

What You’ll Do

Own the technical vision for complex, enterprise-level solutions spanning AI, data, application, and platform engineering.
Design and oversee AI‑native architectures, including LLM-driven systems, data platforms, integration layers, and cloud infrastructure.
Act as a hands-on technical authority: review designs, challenge assumptions, prototype critical components, and unblock teams when needed.
Lead, mentor, and inspire senior engineers and tech leads, raising the bar for engineering maturity and craftsmanship.
Partner with clients at architect and executive level, translating business strategy into actionable technical roadmaps.
Identify opportunities for AI-driven differentiation, helping shape proposals, offerings, and long-term client partnerships.
Contribute to internal and external visibility: thought leadership, engineering standards, speaking engagements, and community initiatives.
Drive a culture of ownership, learning, and continuous improvement across teams and domains.

What You Bring

AI Engineering Expertise: Proven hands-on experience with LLMs, RAG architectures, agentic workflows, and production AI systems.
Leadership & Influence: Demonstrated ability to lead senior engineers, influence stakeholders, and drive alignment across teams.
Market Presence & Consulting Experience: Commercial awareness, ability to position technology as business value, and strong network. Background in consulting, working directly with clients at multiple levels of seniority.
Software Engineering Excellence: Strong background in backend engineering (e.g. Java, Python) and modern architectural patterns (microservices, event-driven, domain-driven design).
Platform & Cloud Savvy: Deep understanding of cloud-native platforms (Azure preferred, AWS/GCP valued), Kubernetes, CI/CD, and Infrastructure as Code.
Enterprise Mindset: Experience designing systems that are secure, scalable, observable, and compliant in regulated environments.
Fluency in English, Dutch or French can be a plus

.

Nice-To-Haves

Experience in financial services, including regulatory, security, or data‑privacy constraints.
Contributions to open source, publications, conference talks, or active involvement in engineering communities.
Fluency in Dutch.

Why Blue Harvest?

Best of Both Worlds: The agility and fun of a startup, with the stability and resources of Capgemini.
Growth: Clear career paths and a dedicated budget for learning, certifications, and conferences. We support you to become a thought leader and want you on stage, sharing your knowledge.
Culture: A team that values curiosity, connection, and the occasional octopus-level multitasking
Rewards: Competitive salary and performance bonuses that reflect your impact.

Our Offer

You will get a competitive salary with other interesting benefits. But more importantly, you will work at a fantastic and pleasant place where you can do more than just engineering. You will be learning, developing yourself, organizing events and speaking at conferences.

Are you ready to harvest and do you think you are the next AI Engineering Lead we are looking for? Do not hesitate to apply.

(By applying to this vacancy, you agree with a background check if applicable.)

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size: 10,001+
Company stage: IPO
Headquarters: Paris, France
Founded: 1967

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