Morgan Stanley
AI Platform Engineer / Architect - VP
$155K–$215K
New York, New York · On-site · Director · Full-time · Posted Sep 15, 2026
- Experience
- 8+ years of experience in software engineering, design and development.
- Education
- Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience.
About the job
Build and operate a firmwide AI development platform that helps teams deploy secure, scalable AI applications and accelerate enterprise adoption.
What you'll do
- Develop self-service tooling and reusable platform capabilities for deploying AI solutions, including cloud infrastructure and containerized workloads.
- Design, integrate, and operate Generative AI solutions, including agent orchestration, vector stores, and model frameworks.
- Improve platform reliability and governance through architecture decisions, deployment strategies, monitoring, and automation.
What they ask for
- Bachelor's or Master's degree in Computer Science or a related field, or equivalent job experience.
- 8+ years of experience in software engineering, design, and development.
- Hands-on application development in a prominent programming language; experience with Kubernetes workloads, RESTful services, and deploying cloud applications using Terraform.
- Experience with data engineering, data governance, privacy and security, and DevOps practices including CI/CD and GitOps.
Nice to have
- Experience building Generative AI or LLM applications, including embeddings, model fine-tuning, and agent frameworks.
- Experience with OpenShift, OpenTelemetry tools, OAuth 2.0, and testing practices.
Pay
$155,000 and $215,000 per year (USD, base salary)
Tools
Kubernetes, OpenShift, Python Flask, FAST Api, Terraform, Azure, AWS, GCP
AI focus
Build a firmwide AI development platform and deploy Generative AI solutions, including reusable applications, pre-trained and fine-tuned models, vector stores, and agentic orchestration.
Model-written summary · the original posting is authoritative