Data & AI architect in life sciences

Let’s breathe life into great tech ideas! With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world.

• Own the account’s target data and AI architecture, keep every initiative aligned to it, and maintain the architecture documents and decision records.
• Design lakehouse data models (medallion, Delta) with clear lineage, data quality rules and reusable data products.
• Plan environments, capacity and the path from pilot to production.
• Design integrations with enterprise systems such as Microsoft 365/SharePoint, CRM, ERP, finance and project systems, plus entity resolution to link clients, projects and documents.
• Build document intelligence pipelines that use OCR, classification and LLM-based extraction.
• Architect RAG solutions and AI agents on Azure AI Foundry and Power Platform, with grounded answers, tool use and human-in-the-loop steps.
• Set up evaluation frameworks with golden datasets, and use them to gate model and prompt changes.
• Design security and governance: Entra ID/RBAC, document-level access, Purview, audit logging, monitoring and cost controls, plus isolated deployments where required.
• Act as the client’s trusted technical advisor: run workshops and present trade-offs, cost and risk clearly.
• Support new client initiatives with estimates, RFP responses, demos, proposals and proofs of concept
• Mentor data and AI engineers through design reviews, code reviews and prototyping, and help grow the client’s in-house capability.

• 8+ years in data engineering or data platforms, including 3+ years as a solution or data architect leading end-to-end designs for enterprise clients.
• 3+ years of Azure experience (Microsoft Fabric / OneLake, Azure AI Foundry and Azure OpenAI, Azure AI Search etc.) including security and governance (Entra ID, RBAC, Key Vault, private networking)
• Proven delivery of production data platforms (medallion patterns), experience in data modelling with lineage and provenance, data quality, entity resolution and master data.
• Delivered at least one generative AI solution (RAG, document AI or agents) beyond the prototype stage.
• Strong hands-on Python and SQL; working knowledge of PySpark.
• Ability to explain architecture and AI limits to non-technical business stakeholders, and to defend decisions with trade-offs, cost and risk.
• Comfortable working across several initiatives at once and switching between strategy and hands-on detail.
• English at B2+ (Upper-Intermediate) or higher for daily work with US stakeholders.
• Будет плюсом: Experience in the AEC (architecture, engineering, construction) or life sciences domain: pre-construction, estimating, proposals, commissioning and qualification; Exposure to Procore, Salesforce, Cosential or similar construction and professional-services systems; Power BI / Microsoft Purview / Power Platform / Copilot Studio; Agentic frameworks (Semantic Kernel, LangGraph, Azure AI Foundry Agent Service), Model Context Protocol and LLM evaluation tooling; Infrastructure as code (Bicep or Terraform) and CI/CD for Fabric and Azure (Azure DevOps or GitHub Actions); Azure / Fabric certifications

• By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results.
• That’s why we offer a range of benefits that support your well-being and charge your professional growth.