AI Architect
ZEISS Group8 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Serve as technical product owner and lead engineer for Microsoft-based agentic AI solutions supporting REF program and portfolio management.
- Assess, industrialize, document, and establish internal ownership for externally and internally developed AI pilots.
- Design, build, and maintain secure data pipelines and connectors for enterprise sources including Teams, SharePoint, Excel, Jira, Azure DevOps, Smartsheet, eDMS, and Polarion.
- Create a common project fact base linking projects, tasks, milestones, dependencies, resources, decisions, risks, documents, and meeting evidence.
- Develop and orchestrate agents for status reporting, management briefings, evidence-based Q&A, risk and dependency analysis, resource planning, and scenario support.
- Implement grounded retrieval, source attribution, data-quality checks, gap handling, identity controls, authorization, audit logging, monitoring, lifecycle management, testing, releases, and incident support.
- Collaborate with ZEISS IT, ZEISS Digital Partners, the MED AI Hub, data owners, tool owners, the Global Program Intelligence & Transformation Lead, and R&D projects.
- Define reusable engineering patterns, technical documentation, runbooks, and knowledge-transfer materials while coaching additional engineers.
- Recommend architecture and engineering standards, approve changes and deployments within delegated scope, and reject releases that do not meet security, data-quality, traceability, or maintainability criteria.
- Continuously evaluate and improve solution quality, cost, performance, security, and user feedback.
Requirements
- Graduate degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related discipline.
- Typically 7+ years of hands-on experience in software, cloud, or data engineering, including substantial production AI, analytics, or integration work.
- Experience taking AI, data, or software pilots from proof of concept into secure, scalable, and sustainably operated production solutions.
- Experience with GenAI and agentic AI patterns including retrieval-augmented generation, tool or function calling, orchestration, evaluation, observability, and human-in-the-loop controls.
- Strong practical experience with the Microsoft ecosystem, preferably Azure AI services, Microsoft 365 or Graph integration, Teams, Power Platform, Copilot technologies, Azure DevOps, and Entra ID.
- Strong data-engineering skills across APIs, ETL/ELT, SQL, and document or semantic retrieval, including structured and unstructured enterprise data integration.
- Strong production programming skills for AI and data integrations, such as Python, together with software-engineering practices, automated testing, CI/CD, and infrastructure-as-code exposure.
- Experience with secure enterprise architecture, access control, auditability, data protection, and responsible AI.
- Experience in regulated industries or MedTech is strongly preferred.
- Excellent communication and collaboration skills across India, Germany, and global virtual teams; willingness to learn the MedTech and REF domain is essential.
- Hands-on builder and pragmatic problem solver able to lead technical contributors and approved external engineering partners through matrix collaboration.
Categories
AI ApplicationsData Engineering
About ZEISS Group
ZEISS Group develops and sells optics and optoelectronics for semiconductor makers, manufacturers, clinicians, researchers, and consumers, spanning lithography systems, industrial metrology, medical devices, microscopes, and eyeglass and camera lenses. Founded in 1846 and headquartered in Oberkochen, Germany, the company is wholly owned by the Carl Zeiss Foundation. It operates globally and generates around €12 billion in annual revenue across segments including Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology, and Consumer Markets.