Lead (AI) Platform Engineer
Lead Platform Engineer at Capgemini's Blue Harvest unit (Diegem, Belgium): architect and automate Azure (or on-prem) platforms for financial-industry clients, with an AI focus on deploying, serving and monitoring LLMs and multi-agent systems, while mentoring engineers and setting technical direction.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- Deep expertise in Azure (AWS/GCP also valued)
- Proficiency with Terraform, Bicep, Kubernetes, Helm, and service meshes
- Hands-on with MLOps tools (Azure ML, Databricks)
- Experience with vector databases (Pinecone, Milvus)
- AI observability experience (LangSmith, OpenTelemetry)
- Strong scripting skills in Python, Go, or Bash
- Passion for automation, security, and platform building
- Fluent in English; strong network and market vision
Nice to have
- Experience as a consultant working directly with clients
- Experience with FinOps, cost optimization, or regulatory compliance in financial services
- Familiarity with hybrid cloud or on-premise security models
- Contributions and active participation in open source, tech talks, blogs, or developer communities
- Ability to translate complex tech into clear, actionable client advice
Full description
Job Description
About the Role
Are you the kind of engineer who sees infrastructure as a playground for innovation? At Blue Harvest, you’ll architect and automate the cloud (or on-prem) foundations that power advanced solutions for leading clients in the financial industry.
Most projects have an AI-native or AI-enhanced flavour, but you’ll also help clients modernize their core tech stack and contribute to internal R&D, tooling, or community initiatives that keep us ahead of the curve.
As a Lead, you’ll guide teams, set technical direction, and help shape the engineering culture, establishing yourself as a local thought leader while growing your market impact.
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
- Design and build robust, secure, and scalable platforms on Azure (or on-prem), making “production-ready” the default.
- Lead the charge in AI infrastructure: automate deployment, serving, and monitoring of LLMs and multi-agent systems.
- Mentor and guide engineers, championing DevOps culture (“You build it, you run it”) and raising the bar for automation and security.
- Collaborate with clients and stakeholders to modernize their tech landscape, optimize costs, and drive innovation.
- When not working on client projects, contribute to internal innovation—think hackathons, open source, or building the next “secret weapon” for our engineering community.
- Grow your career with us: Blue Harvest invests heavily in your learning, with clear career paths, mentorship, and opportunities to become a recognized expert.
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What You Bring
- Cloud Native: Deep expertise in Azure (preferred), but AWS/GCP also valued. You know your way around Terraform, Bicep, Kubernetes, Helm, and service meshes.
- MLOps & Data: Hands-on with MLOps tools (Azure ML, Databricks), vector databases (Pinecone, Milvus), and AI observability (LangSmith, OpenTelemetry).
- Automation: Strong scripting skills in Python, Go, or Bash.
- Mindset: Passion for automation, security, and building platforms that make engineers (and AI models) happy.