Senior Technical Architect / Vice President (ai, Cloud & Llm Platforms), Vp

Deutsche Bank

Pune, India
**
Ai and llm systems architecture
Cloud-native platform design
Distributed systems and microservices
** Deutsche Bank is seeking a Senior Technical Architect / Vice President specializing in AI, Cloud, and LLM Platforms in Pune, India. The role involves defining the enterprise architecture vision, leading technical strategy, and ensuring the delivery of scalable AI solutions while fostering collaboration across teams. **

Job Summary

  • The Senior Technical Architect / VP is responsible for defining enterprise-wide architecture vision across AI, LLM systems, cloud, data, and distributed platforms.
  • This role leads end-to-end technical strategy, modernization, architectural governance, and oversees delivery of scalable, secure, and high‑performance AI/LLM systems.
  • Deutsche Bank offers best in class leave policies, gender neutral parental leaves, childcare assistance benefits, and comprehensive insurance coverage.

Matching Summary

Match Score: 75

** Deutsche Bank is seeking a Senior Technical Architect / Vice President specializing in AI, Cloud, and LLM Platforms in Pune, India. The role involves defining the enterprise architecture vision, leading technical strategy, and ensuring the delivery of scalable AI solutions while fostering collaboration across teams. **

Skills & Requirements

Must-have

  • AI and LLM systems architecture
  • Cloud-native platform design
  • Distributed systems and microservices
  • Kubernetes and container orchestration
  • ML workflows and MLOps frameworks
  • Python, Java, or Node.js proficiency
  • Architectural governance and modernization

Nice-to-have

  • Executive stakeholder management
  • Mentoring and team leadership
  • Continuous learning culture
  • Flexible benefits and support
  • Responsible AI frameworks
  • Cross-platform architecture reviews

Key Requirements

  • 12–20+ years enterprise architecture experience
  • Expertise in distributed systems and microservices
  • Strong hands-on LLM/AI architecture knowledge
  • Proficiency in Python, Java, or Node.js
  • Experience with Kubernetes, Docker, Terraform
  • Experience with big data tools like Kafka and Spark

Work Rights

Not specified

Sponsorship: available

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