Ai Platform Engineer - Vp

Morgan Stanley UK

London, United Kingdom
Base: $150,000 - $210,000 py; bonus/equity: discre...
Fully remote
Kubernetes and openshift workload management
Python flask or fastapi development
Restful api design and large-scale gateway environments
This role focuses on building a firmwide AI Development Platform to drive the adoption of Generative AI capabilities across Morgan Stanley's enterprise

Job Summary

  • This role focuses on building a firmwide AI Development Platform to drive the adoption of Generative AI capabilities across Morgan Stanley's enterprise.
  • The successful candidate will leverage Kubernetes, Python, and modern DevOps practices to create scalable, secure, and self-service tools for deploying AI solutions.
  • Morgan Stanley offers flexible working arrangements, competitive compensation ranging from $150,000 to $210,000, and an environment focused on innovation and technical excellence.

Matching Summary

This role focuses on building a firmwide AI Development Platform to drive the adoption of Generative AI capabilities across Morgan Stanley's enterprise.

Salary

Base: $150,000 - $210,000 per year; Bonus/Equity: Discretionary bonuses and incentive packages included; Benefits: Comprehensive employee benefits and perks

Skills & Requirements

Must-have

  • Kubernetes and OpenShift workload management
  • Python Flask or FastAPI development
  • RESTful API design and large-scale gateway environments
  • Data engineering with SQL, NoSQL, Kafka, and Redis
  • DevOps CI/CD pipelines and GitOps practices
  • OpenTelemetry monitoring with Grafana and Prometheus
  • OAuth 2.0 secure authorization implementation

Nice-to-have

  • Generative AI and LLM application experience
  • Agentic Orchestration and Agent Builder frameworks
  • Deep learning with TensorFlow or PyTorch
  • ModelOps and MLOps methodologies
  • Responsible AI and AI Ethics understanding
  • Blue/Green deployment strategies
  • Influence on global development teams

Key Requirements

  • Bachelor's or Master's degree in Computer Science or equivalent
  • 10+ years of software engineering experience
  • 5+ years architecting distributed systems
  • 1+ year building Generative AI applications

Work Rights

Not specified

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