AI Engineer

Syensqo is all about chemistry. We’re not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet’s beauty for the generations to come.

Syensqo.ai - Senior AI Engineer
Syensqo is a leading multinational materials company headquartered in Brussels, advancing humanity through scientific exploration and innovation. Nearly two years after the spin-off from Solvay, Syensqo.ai has evolved from inception to a nimble, high-impact scale-up that accelerates AI adoption across the Group—partnering closely with corporate functions (e.g., Finance, HR, Legal, Procurement), operations, and our chemists and researchers.

We operate lean and fast, with a startup mindset and strong governance: deliver impact quickly, build responsibly, and meet enterprise standards for security, compliance, ethics, and guardrails. As a Senior AI Engineer, you will design, build, and productionize agentic and generative AI solutions on Azure, with a focus on real business outcomes, reproducibility, and maintainability (MLOps).

The Senior AI Engineer will co-lead the planning, execution, and delivery of AI proofs-of-value and products, ensuring they solve concrete business problems and can scale across Syensqo. You will collaborate directly with stakeholders, guide technical decisions, and help shape patterns and standards for agentic AI within the enterprise.

Building on this context, the AI Engineer will focus on HR and executive productivity: designing GPTs, copilots, and automations that accelerate recruiting, onboarding, knowledge retrieval, policy guidance, and decision support. You will translate ambiguous problems into robust, measurable solutions that integrate with Microsoft 365 and enterprise HR systems.

You are independent, solution-oriented, and passionate about automating workflows with AI—bringing a track record of hands-on delivery (including side projects) and comfort across Azure AI Foundry, Copilot Studio, and Azure AI Document Intelligence. The position reports to the AI Lead.

Key Responsibilities:
- Build HR-facing GPTs, copilots, and automations using Azure AI Foundry and Copilot Studio;
- Design RAG assistants for HR knowledge, policies, and documents using Azure AI Search and Document Intelligence;
- Partner with executive staff to craft bespoke agents and productivity workflows integrated with Microsoft 365;
- Frame problems with HR/executive stakeholders; define success metrics; deliver measurable value quickly;
- Implement evaluation: quality, safety, latency, cost; run A/B tests; iterate from telemetry;
- Enforce Responsible AI guardrails, privacy, and approvals; collaborate with Security, Legal, and Compliance;
- Integrate assistants with enterprise data and HR systems via secure APIs, connectors, and Microsoft Graph;
- Establish CI/CD for prompts, workflows, and models with Azure DevOps; versioning, rollback, canary releases;
- Monitor production for drift, safety incidents, and cost; optimize usage, quotas, and caching;
- Document patterns, templates, and runbooks; publish reusable components for the community;
- Enable power users and citizen developers through workshops, office hours, and concise guidance;
- Contribute to internal standards for agentic AI, MLOps, and governance across Syensqo.

Education and experience:
Education: Bachelor’s or Master’s in Computer Science, Data Science, Engineering, Mathematics, or related field — or equivalent practical experience. Background in Chemistry/Cheminformatics is a plus.

Experience:
- Solid hands-on experience delivering AI/GenAI solutions (tenure flexible; we value demonstrated capability over years);
- Proven track record building GPT-based assistants, RAG pipelines, and workflow automations for corporate and executive use cases;
- Experience working with corporate business functions (especially HR) and senior leaders; excellent stakeholder management and service mindset;
- Demonstrated MLOps implementation on Microsoft Azure;
- Experience of Copilot Studio is a plus;
- Open-source contributions, internal frameworks, or published case studies are a strong plus.

Technical Knowledge:
- Good prompting expertise;
- Python expertise; proficiency with ML/LLM stacks (PyTorch; scikit-learn; Transformers); prompt engineering and evaluation;
- LLM/agent frameworks such as LangChain, LlamaIndex, or Semantic Kernel;
- Azure services: Azure Machine Learning, Azure OpenAI / Azure AI Foundry, Azure AI Search, Azure Data Factory, Azure DevOps, Microsoft Fabric; containers (Docker; AKS/Container Apps);
- Microsoft ecosystem: Copilot Studio, Power Automate/Power Platform, Microsoft 365 Graph, Azure AI Document Intelligence; secure API integration and data governance;
- Data engineering fundamentals: SQL/NoSQL, ETL/ELT, events/queues, and secure cloud data integration.

Skills and behavioral competencies:
Startup mindset & ownership: proactive, resourceful, bias to action, comfortable with ambiguity, drives ideas to value.
Technical leadership: sets pragmatic architectures; balances quality, cost, and latency; mentors power users.
Business impact orientation: frames problems with stakeholders, defines KPIs, measures value, iterates quickly.
Curiosity & craftsmanship: tracks GenAI/agentic advances; evaluates and integrates what truly works.
Communication & evangelism: explains complex topics clearly; runs workshops/demos; produces concise guidance.
Collaboration & knowledge sharing: reusable components, patterns, and docs; uplifts team capabilities.
Responsible AI: security, privacy, and compliance by design; guardrails and approvals.
Independence & solution orientation: self-starter who navigates ambiguity and lands robust, maintainable solutions.
Service mindset & executive presence: calm under pressure; anticipates needs of senior leaders and their teams.

Language skills:
English (mandatory);
French (nice to have).

What’s in it for the candidate:
Be part of — and contribute to — a once-in-a-lifetime transformation at Syensqo: small, empowered team; direct line of sight to impact; modern Azure stack; autonomy to ship meaningful AI products used across the Group. Shape the Finance AI portfolio and enterprise patterns from the ground up.

Additional information:
- Location: Brussels;
- Remote work: Not possible.

About us

• Syensqo is a science company developing groundbreaking solutions that enhance the way we live, work, travel and play. Inspired by the scientific councils which Ernest Solvay initiated in 1911, we bring great minds together to push the limits of science and innovation for the benefit of our customers, with a diverse, global team of more than 13,000 associates. Our solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices and health care applications. Our innovation power enables us to deliver on the ambition of a circular economy and explore breakthrough technologies that advance humanity.
• At Syensqo, we seek to promote unity and not uniformity. We value the diversity that individuals bring and we invite you to consider a future with us, regardless of background, age, gender, national origin, ethnicity, religion, sexual orientation, ability or identity. We encourage individuals who may require any assistance or accommodations to let us know to ensure a seamless application experience. We are here to support you throughout the application journey and want to ensure all candidates are treated equally. If you are unsure whether you meet all the criteria or qualifications listed in the job description, we still encourage you to apply.