AI Platform Engineer / Architect, VP

Morgan Stanley

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$155,000–$215,000 / yr
Employment
Full-time
Posted
50 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $184k
This role $185k
$110k $241k
below market most similar roles pay here above market

This role pays more than 58% of similar roles. Most pay $151,000–$216,162 — the blue band above. At the midpoint, this role pays about $185k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About Morgan Stanley

Morgan Stanley is a global financial services firm providing investment banking, securities, wealth management, and investment management services to corporations, governments, institutions, and individuals. Industry: Investment Banking & Financial Services

Morgan Stanley currently has 27 open roles on FindRole.

Listed pay typically runs $154,500–$215,000 across 26 roles with salary data.

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At a glance

TL;DR · AI Platform Engineer / Architect, VP

The AI Platform Engineer / Architect - VP joins the Technology division to build and drive adoption of a firmwide Artificial Intelligence Development Platform. This role focuses on creating scalable, secure, and governed solutions that enable enterprise-wide AI capabilities. You will develop tooling and self-service capabilities for deploying AI solutions, build common reusable solutions for Generative AI use cases, and manage containerized workloads. Key responsibilities include developing Terraform modules, implementing Agentic Orchestration, and authoring best practices for the Generative AI ecosystem. You will utilize technologies including Kubernetes, OpenShift, Python, Flask, FastAPI, and REST frameworks. Expertise in AWS, Azure, or GCP, along with experience in data engineering using SQL, Kafka, and Redis, is required. You will also leverage tools like Langchain, Hugging Face, and Open Telemetry for monitoring.

What you'll do

  • Develop tooling and self-service capabilities for deploying AI solutions using Kubernetes, Python, and REST frameworks.
  • Create Terraform modules and cloud architecture to enable secure, large-scale AI service deployment.
  • Build reusable solutions to scale Generative AI use cases using pre-trained and fine-tuned models.
  • Integrate large-scale vector stores for embeddings and develop modern containerized workloads.
  • Author best practices and architecture decision records for the Generative AI ecosystem and model selection.
  • Implement GenAI solutions focusing on Agentic Orchestration and Agent Builder frameworks like LangChain.
  • Ensure platform reliability through automated logging, monitoring, and blue/green release strategies.
  • Participate in Agile ceremonies and the team's on-call rotation for build and run operations.

What we're looking for

  • Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience.
  • 8+ years of experience in software engineering, design, and development.
  • Strong hands-on application development background in at least one prominent programming language, preferably Python Flask or FAST Api.
  • Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift.
  • Experience designing, developing, and managing RESTful services for large-scale enterprise solutions.
  • Experience deploying applications on Azure, AWS, and/or GCP using IaC (Terraform).
  • Demonstrated experience in DevOps, understanding of CI/CD (Jenkins), and GitOps.
  • Experience building AI applications, preferably Generative AI and LLM based apps (preferred).

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