Ai Platform Engineer - Vice President

Morgan Stanley

New York, United States
Base: $150,000 - $210,000 py; bonus/equity: discre...
On-site
Kubernetes/openshift platform engineering
Cloud (aws, azure, gcp) architecture
Api-based development and rest framework
Develop a firmwide Artificial Intelligence (AI) Development Platform to drive efficiency, consistency, and innovation across the enterprise

Job Summary

  • Develop a firmwide Artificial Intelligence (AI) Development Platform to drive efficiency, consistency, and innovation across the enterprise.
  • Build scalable, secure, enterprise-wide solutions leveraging Kubernetes, cloud platforms, API development, and Generative AI capabilities.
  • Author best practices for the Generative AI ecosystem, including tool selection, model usage (GPT, Llama, Hugging Face), and libraries like Langchain.

Matching Summary

Develop a firmwide Artificial Intelligence (AI) Development Platform to drive efficiency, consistency, and innovation across the enterprise.

Salary

Base: $150,000 - $210,000 per year; Bonus/Equity: Discretionary bonuses, other short and long-term incentive packages; Benefits: Other Morgan Stanley sponsored benefit programs

Skills & Requirements

Must-have

  • Kubernetes/OpenShift platform engineering
  • Cloud (AWS, Azure, GCP) architecture
  • API-based development and REST framework
  • Data engineering and large-scale API Gateways
  • Generative AI solutions and ecosystem knowledge
  • Python Flask or FAST API development
  • DevOps, CI/CD, and GitOps practices

Nice-to-have

  • AI agents and Agentic Orchestration
  • ModelOps/MLOps/LLMOps understanding
  • SRE techniques and practices
  • Open Telemetry tools (Grafana, Prometheus)
  • Microservice-based architecture
  • Cloud Application Deployment patterns (Blue/Green)

Key Requirements

  • 10 years of software engineering experience
  • Bachelor's or Master's degree in Computer Science or equivalent experience
  • Hands-on experience with multiprocessing, multithreading, asynchronous I/O
  • Experience with Kubernetes/OpenShift workloads
  • Experience deploying applications on Azure, AWS, and/or GCP using Terraform

Work Rights

Not specified

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