- Company Name
- Syensqo
- Job Title
- AI Engineer
- Job Description
-
**Job Title:** AI Engineer
**Role Summary:**
Design, build, and productionize agentic and generative AI solutions on Azure to accelerate HR and executive productivity. Lead AI proofs‑of‑value, guide stakeholder collaboration, and ensure scalable, reproducible, and compliant deployment across an enterprise environment.
**Expectations:**
- Deliver measurable business value quickly through proven AI solutions.
- Co‑lead planning, execution, and delivery of AI products and prototypes.
- Maintain responsible AI governance, security, legal, and compliance standards.
- Champion MLOps best practices for CI/CD, monitoring, and model lifecycle management.
**Key Responsibilities:**
- Build HR‑focused GPTs, copilots, and workflow automations using Azure AI Foundry and Copilot Studio.
- Design Retrieval‑Augmented Generation (RAG) assistants for HR knowledge and policy using Azure AI Search and Document Intelligence.
- Create customized agents and productivity workflows integrated with Microsoft 365 for executive use.
- Frame problems with HR/executive stakeholders; define success metrics; deliver rapid, measurable outcomes.
- Evaluate solutions on quality, safety, latency, cost; run A/B tests and iterate based on telemetry.
- Enforce Responsible AI guardrails, privacy, and approvals in collaboration with Security, Legal, and Compliance.
- Integrate assistants with enterprise data and HR systems via secure APIs, connectors, and Microsoft Graph.
- Establish CI/CD pipelines for prompts, workflows, and models with Azure DevOps; manage versioning, rollback, and canary releases.
- Monitor production for drift, safety incidents, and cost; optimize usage, quotas, and caching.
- Document patterns, templates, and runbooks; publish reusable components for internal use.
- Educate power users and citizen developers through workshops, office hours, and guidance.
- Contribute to internal standards for agentic AI, MLOps, and corporate governance.
**Required Skills:**
- Proficient in Python; experience with ML/LLM stacks (PyTorch, scikit‑learn, Transformers).
- Prompt engineering expertise; familiarity with prompting best practices and evaluation.
- Strong knowledge of LLM/agent frameworks (LangChain, LlamaIndex, Semantic Kernel).
- Hands‑on experience building GPT‑based assistants, RAG pipelines, and corporate workflow automations.
- Experience with Azure services: Azure ML, Azure OpenAI / AI Foundry, Azure AI Search, Azure Data Factory, Azure DevOps, Microsoft Fabric, AKS/Container Apps, Docker.
- Experience with Microsoft ecosystem: Copilot Studio, Power Automate/Power Platform, Microsoft 365 Graph, AI Document Intelligence.
- Data engineering fundamentals: SQL/NoSQL, ETL/ELT, event/queue systems, secure cloud data integration.
- Proven MLOps implementation on Azure; CI/CD for prompts, models, and workflows.
- Excellent stakeholder management and service orientation; ability to work with senior leaders.
- Commitment to Responsible AI and governance.
**Required Education & Certifications:**
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field (or equivalent practical experience).
- Background in Chemistry/Chem‑informatic is a plus.
- Azure AI Engineer Associate or equivalent certification is desirable but not mandatory.