Senior AI Infrastructure Platform Engineer, Assistant Vice President

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Quincy, MAPrinceton, NJAustin, TX
Salary
$90,000–$157,500 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $197k
This role $124k
$73k $253k
below market most similar roles pay here above market

This role pays less than 94% of similar roles. Most pay $159,025–$235,750 — the blue band above. At the midpoint, this role pays about $124k versus about $197k 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 345 open roles on FindRole.

Listed pay typically runs $110,000–$188,750 across 163 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Senior AI Infrastructure Platform Engineer, Assistant Vice President

The Senior AI Infrastructure Platform Engineer, Assistant Vice President joins the Automation/Artificial Intelligence team as an Infrastructure Lead and Mid-level Architect. This role involves leading GenAI and Agentic AI projects, designing end-state automation solutions, and creating MVPs to assess feasibility. You will collaborate with data scientists and software engineers to drive the rollout of self-service technology platforms while managing sprints and solution designs. Key technical requirements include hands-on expertise with Python, FastAPI, Unix, Docker, Postgres, LangChain, LangGraph, Kubernetes, Databricks, and API Management. You will deploy cloud-native applications using Azure Foundry, OpenAI, AWS Bedrock, and Sagemaker. The role focuses on solving business process inefficiencies by developing interoperable cloud solutions and managing the full model lifecycle within a financial services context.

What you'll do

  • Lead the development and architecture of GenAI and Agentic AI projects.
  • Design and deploy cloud-native applications using AWS, Azure, and Kubernetes.
  • Create MVPs to assess feasibility and drive the enterprise automation strategy.
  • Drive the rollout and deployment of self-service technology platforms.
  • Present and review solution designs to ensure they conform to Enterprise Architecture standards.
  • Develop and manage JIRA stories and design artifacts to support future state execution.
  • Manage project sprints and facilitate development with data scientists and software engineers.
  • Oversee the model lifecycle, version control, and quality control for AI products.

What we're looking for

  • Bachelor's Degree in Computer Science or Engineering.
  • 5+ years of experience in technology development or consulting on large-scale implementations in consulting or financial services.
  • Hands-on expertise in Python, FastAPI, Unix, Docker, Postgres, Lang Chain/Lang Graph, Kubernetes, Databricks, API Management, AWS, and Azure.
  • Experience designing and deploying cloud-native applications using Azure Foundry, OpenAI, Document Intelligence, Azure Functions, Azure Logic Apps, AWS Bedrock, AWS Sagemaker, AWS agent core, AWS Step Functions, AWS Lambda, and EKS.
  • Experience developing Gen AI and Agentic AI solutions, including fine-tuning models, model selection, model evaluations, and inferencing.
  • Proficiency in Agile development methodology and CI/CD tools such as GIT and Maven.
  • Strong analytical skills, critical thinking, problem-solving, and decision-making abilities.
  • Certification in Cloud, AI & ML (preferred).

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