Senior AI Engineer

Syensqo is all about chemistry. Were 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 your future colleagues and in all your differences. And of course in your ideas to improve lives while preserving our planets beauty for the generations to come.

We are looking for:

• We are looking for a senior AI Engineer to design build and productionize agentic and generative AI solutions on Azure with a focus on real business outcomes reproducibility and maintainability (MLOps). The job holder 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. The job holder is expected to collaborate directly with stakeholders guide technical decisions and help shape patterns and standards for agentic AI within the enterprise.

We count on you for:

• Assess and understand local specificities on the AI market - spot opportunities and potential partnerships with local AI leaders.

• Working close to local leadership to provide AI solutions.

• Lead the end-to-end design implementation and deployment of agentic and generative AI solutions (tool-using LLMs function calling multi-step workflows) that integrate with enterprise systems and data.

• Architect RAG pipelines (retrieval indexing chunking routing safety filters evaluation) using Azure services (e.g. Azure AI Search Azure OpenAI / Azure AI Foundry Azure Machine Learning) and modern frameworks.

• Own fine-tuning and adaptation (e.g. LoRA/PEFT instruction tuning prompt optimization) and establish offline/online evaluation strategies (hallucination safety latency cost).

• Drive MLOps on Azure: CI/CD for prompts and models model/data/versioning telemetry guardrails rollback strategies canary releases monitoring and cost governance.

• Serve as a technical authority on Azure (Azure ML Azure DevOps Azure Functions Microsoft Fabric Azure AI/OpenAI Azure AI Search; familiarity with AKS/Container Apps is a plus).

• Work side-by-side with business stakeholders in corporate functions and R&I to frame use cases define success metrics and deliver measurable value.

• Champion Responsible AI: privacy security compliance ethical use and documentation across the lifecycle.

• Mentor engineers/scientists share best practices and contribute reusable components templates and reference architectures.

• Promote adoption through demos workshops and concise internal write-ups; stay current on GenAI/agentic research and bring relevant advances into production.

• (Optional valued) Contribute to initiatives involving chemistry/materials datasets and domain-specific tooling.

You can count on us for:

• Join a dynamic team that tackles big challenges of transformation.

• 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.

You will bring:

• Masters or PhD in Computer Science Data Science Engineering Mathematics or related field or equivalent practical experience. Background in Chemistry/Cheminformatics is a plus.

• Solid hands-on experience delivering production AI/GenAI solutions (tenure flexible; we value demonstrated capability over years).

• Proven track record building agentic LLM systems (tool use/function calling orchestration safety) RAG pipelines and fine-tuning/adaptation.

• Experience working with corporate business functions (e.g. Finance HR Legal Procurement) and/or R&I stakeholders.

• Demonstrated MLOps implementation on Microsoft Azure.

• Open-source contributions internal frameworks or published case studies are a strong plus.

• Python expertise; proficiency with ML/LLM stacks (PyTorch; scikit-learn; Transformers).

• LLM/agent frameworks such as LangChain LlamaIndex Semantic Kernel (or equivalents).

• 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).

• Data engineering fundamentals: SQL/NoSQL ETL/ELT APIs/eventing and secure cloud data integration.

• Familiarity with chemistry/cheminformatics data and tools is a plus.

• Python expertise; proficiency with ML/LLM stacks (PyTorch; scikit-learn; Transformers).

• LLM/agent frameworks such as LangChain LlamaIndex Semantic Kernel (or equivalents).

• 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).

• Data engineering fundamentals: SQL/NoSQL ETL/ELT APIs/eventing and secure cloud data integration.

• Familiarity with chemistry/cheminformatics data and tools is a plus.

• Startup mindset & ownership: proactive resourceful bias to action comfortable with ambiguity drives ideas to value.

• Technical leadership: sets architecture makes pragmatic trade-offs (quality cost latency) mentors peers.

• Business impact orientation: frames problems with stakeholders defines KPIs measures value iterates quickly.

• Curiosity & craftsmanship: keeps pace with GenAI/agentic advances; evaluates and integrates what truly works.

• Communication & evangelism: explains complex topics clearly to non-technical audiences; runs workshops/demos.

• Collaboration & knowledge sharing: reusable components patterns docs; uplifts team capabilities.

• Responsible AI: builds with security privacy and compliance by design.

You will get:

• Competitive Compensation

• 16 weeks of maternity/paternity and co-parenting leave

• Training platform for all employees

Additional information:

• Location: Shanghai China

• Hybrid working model

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 13000 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.

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