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Metro-based senior GenAI role with broad Azure and ML requirements yields moderate competition.
High — requires specialized GenAI, ML, and Azure architecture expertise limiting cross-industry transfer.
Multiple mandatory GenAI, Azure, and architecture skills create strict screening for experienced specialists.
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Lead architectural design and delivery of enterprise-grade GenAI and predictive analytics solutions leveraging Microsoft Azure services across global ZEISS business units.
Define and promote standards, reusable GenAI application patterns, and long-term technical roadmaps, ensuring scalability, security, compliance, and governance.
Drive cross-regional GenAI initiatives end-to-end from use case discovery, prototyping, to enterprise rollout, collaborating with stakeholders and guiding DevOps/CI-CD implementation.
8+ years of experience in data science, AI, advanced analytics, or software engineering with solution/technical architecture roles for AI/ML applications.
Strong hands-on experience designing and deploying GenAI and AI/ML solutions using Microsoft Azure services (Azure OpenAI, Azure ML, Cognitive Search, Kubernetes, etc.).
Proficient in Python and related ML libraries; experience with cloud-native architectures, DevOps/CI-CD on Azure, and infrastructure-as-code (Terraform preferred).
Master’s degree in STEM field (e.g., Data Science, Computer Science) or related discipline.
Experienced solution architect with deep expertise specifically in GenAI technologies (transformers, LLMs, diffusion models) and application patterns (RAG, agents, copilots).
Capable of managing complex, multi-stakeholder global initiatives, aligning technical vision with business impact and strategic goals.
Strong communicator able to translate complex technical concepts to diverse audiences including senior management; strategic, product-focused mindset emphasizing pragmatic, scalable solutions.