Solution Architect – Genai- Vice President - Software Engineering

Morgan Stanley

**
9+ years enterprise data and ai architecture experience
3+ years banking or financial services applications
Experience with large language models like openai claude
** Morgan Stanley is seeking a Vice President-level Solution Architect specializing in AI-driven solutions for its Assurance & Legal Technology department. The role requires extensive experience in enterprise architecture and AI implementation within the banking sector to design scalable solutions that address complex challenges. **

Job Summary

  • This role involves designing scalable and secure AI architecture solutions specifically for complex banking use cases within the Assurance & Legal Technology department.
  • The successful candidate will translate banking business requirements into technical solutions that deliver clear ROI and competitive advantages while collaborating with cross-functional teams.
  • Morgan Stanley offers a supportive environment where employees can work alongside top talent to redefine markets and shape the future of communities across 42 countries.

Matching Summary

Match Score: 75

** Morgan Stanley is seeking a Vice President-level Solution Architect specializing in AI-driven solutions for its Assurance & Legal Technology department. The role requires extensive experience in enterprise architecture and AI implementation within the banking sector to design scalable solutions that address complex challenges. **

Skills & Requirements

Must-have

  • 9+ years enterprise data and AI architecture experience
  • 3+ years banking or financial services applications
  • Experience with large language models like OpenAI Claude
  • Strong knowledge of Azure AWS GCP cloud platforms
  • Hands-on experience with Java Python AngularJS React SQL

Nice-to-have

  • Prior pre-sales solution architecture or consulting experience
  • Experience with hybrid cloud on-premises banking solutions
  • Relevant certifications in computer science or data science
  • Knowledge of banking-specific AI use cases like fraud detection

Key Requirements

  • Bachelor's or master's degree in computer science or related field
  • Minimum 9 years architecting enterprise-scale data and AI solutions
  • Minimum 3 years experience in banking or financial services applications

Work Rights

Not specified

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