Senior AI Infrastructure Platform Engineer

State Street

Senior AI Infrastructure Platform Engineer contributing to full-stack development and architecture for GenAI projects. Collaborating with business teams for AI-driven transformations while ensuring process efficiency.

Posted 5/29/2026full-timeQuincy • Massachusetts, Texas • 🇺🇸 United StatesSenior💰 $90,000 - $157,500 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerKubernetesMavenPostgresPythonUnix

About the role

Key responsibilities & impact

As an Officer you will contribute individually as well as lead GenAI /Agentic AI projects through your full-stack development and architecture expertise.
This position requires a demonstrated excellence in system design and architecture, as well as individual contributions in development.
You will work closely across business and IT, strong communication skills are necessary.
Lead Development projects independently and work with Business, IT and Infrastructure teams.
Work with a team of data scientists, machine learning engineers, software engineers and QA engineers.
Drive rollout & deployment of “self-service” technology platforms.
Create MVPs; to assess feasibility and drive the automation strategy, to include all aspects of automation, AI and ML.
Work with project management facilitating development, managing sprints.
Work with Enterprise Architecture to present and review solution designs conforming to EA standards.
Create materials required to support future state execution (eg: Design and development artifacts, JIRA stories etc).
Develop an in-depth understanding of business processes, functions, teams, incumbent technology.
Identify what’s standard vs. bespoke, and what drives value for clients.
Design an end-state that relies on the latest automation offerings.
Ensure the team has the highest likelihood of success, and all risks are managed by demonstrating consistent and proactive ownership of assigned responsibilities for standard work products, version control, model lifecycle, and Quality Control.

Requirements

What you’ll need

Bachelors Degree in Computer Science or Engineering
5+ years of experience in Technology development or consulting on large-scale implementations in consulting or financial services industry
Certification preferred in Cloud, AI & ML
Hands on expertise on Python, FastAPI, Unix, Docker, Postgres, Lang Chain / Lang Graph, Kubernetes, Databricks, API Management, AWS and Azure
Design and deploy cloud-native applications using Azure Foundry, Open AI, Document Intelligence, Azure Functions, Azure Logic Apps, AWS Bedrock, AWS Sagemaker, AWS agent core, AWS Step Functions, AWS Lambda and EKS
Experience in developing Gen AI and Agentic AI solutions, Fine tuning models, model selection, model evaluations and inferencing, frameworks and architectures
Agile development methodology, CI/CD Development environments and tools (GIT, Maven, Harnes, etc).
API Development for interoperable Cloud solutions including a deep focus on building the best of breed solutions which are used at scale across enterprise.

Benefits

Comp & perks

our retirement savings plan (401K) with company match
insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
paid-time off including vacation, sick leave, short term disability, and family care responsibilities
access to our Employee Assistance Program
incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)
eligibility for certain tax advantaged savings plans

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonFastAPIUnixDockerPostgresLang ChainKubernetesDatabricksAPI DevelopmentCloud-native applications

Soft Skills

communicationleadershipteam collaborationproject managementproactive ownershiprisk managementproblem-solvingorganizational skillsfacilitationstakeholder engagement

Certifications

Bachelors Degree in Computer ScienceBachelors Degree in EngineeringCloud certificationAI certificationML certification