Ai Platform Engineer - Associate

Morgan Stanley

Alpharetta, United States
Kubernetes
Cloud (aws, azure, google)
Api based development
Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses

Job Summary

  • Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses.
  • Build and enhance Python-based microservices (Flask, Fast API) by empowering the AI platform and extend and maintain connectors for external LLM providers: OpenAI, Azure AI Foundry, and AWS Bedrock.
  • We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.

Matching Summary

Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses.

Skills & Requirements

Must-have

  • Kubernetes
  • Cloud (AWS, Azure, Google)
  • API based development
  • REST framework
  • Data engineering
  • Python microservices (Flask, FastAPI)
  • Helm charts

Nice-to-have

  • Team-based mentality
  • Passion for AI
  • Agile/Scrum ceremonies
  • DevOps and Agile practices
  • SRE techniques
  • ModelOps/MLOps/LLMOps

Key Requirements

  • Bachelor's or master's degree in computer science or related field, or equivalent job experience
  • 5 years of experience in software engineering, design and development
  • Strong hands-on Application Development background in at least one prominent programming language
  • Experience in development, management, and deployment of Kubernetes workloads
  • Experience with designing, developing, and managing RESTful services
  • Experience deploying applications on Azure, AWS, and/or GCP using IaC (Terraform)
  • Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps

Work Rights

Not specified

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