Generative AI Platform Manager, Vice President

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Burlington, MAQuincy, MABoston, MAAustin, TX
Salary
$120,000–$202,500 / yr
Posted
58 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $213k
This role $161k
$104k most similar roles pay here $273k

This role pays less than 82% of similar roles. Most pay $176,800–$249,115 — the shaded band above. At the midpoint, this role pays about $161k versus about $213k for comparable roles.

Based on 240 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 176 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 172 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Generative AI Platform Manager, Vice President

As the Generative AI Platform Manager, Vice President, you will lead the design and delivery of an enterprise-grade generative AI platform while mentoring senior engineers and enabling data science teams to deploy solutions at scale. You will manage core infrastructure across AWS Bedrock, Azure AI Foundry, and Databricks, overseeing model governance, RAG architectures, and fine-tuning pipelines. Your daily work involves authoring production-grade IaC constructs using TypeScript, Python, Bicep, or Terraform, and managing CI/CD workflows via Harness. You will implement robust security controls, FinOps cost management, and developer tools like Claude Desktop and MCP servers. The role focuses on solving complex infrastructure challenges in regulated environments by building "golden paths" for model deployment, ensuring high availability, and optimizing token efficiency across multi-cloud environments including AWS, Azure, and Databricks platforms to streamline the production lifecycle of large language models.

What you'll do

  • Lead the design and delivery of an enterprise Generative AI platform using AWS Bedrock, Azure AI Foundry, and Databricks.
  • Manage model lifecycle governance, capacity planning, and cost optimization for various foundation models across multi-cloud environments.
  • Architect RAG and agentic workflows utilizing tools like OpenSearch, Pinecone, and LangGraph.
  • Author production-grade Infrastructure as Code (IaC) using CDK, Bicep, or Terraform to create "golden paths" for developers.
  • Build and manage automated CI/CD pipelines in Harness with integrated security scanning and model evaluation.
  • Develop internal MCP servers and implement AI-assisted developer tools to improve engineering productivity.
  • Establish enterprise-wide governance for safety, compliance, and observability across all AI platforms.
  • Mentor a team of senior engineers and collaborate with cross-functional leadership to scale Gen AI solutions.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Engineering, or IT.
  • 10+ years of experience in platform, cloud, or SRE engineering.
  • 5+ years of hands-on experience with AWS Bedrock, Azure OpenAI/Foundry, and Databricks.
  • 3+ years of experience in technical leadership or people management.
  • Proficiency in Python and TypeScript for developing infrastructure and AI tools.
  • Expertise in Infrastructure as Code (IaC) using CDK, Bicep, and Terraform.
  • Experience with Harness CI/CD pipelines and GitOps workflows.
  • Preferred certifications include AWS Solutions Architect Pro, Azure AZ-305, or Databricks ML Pro.

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