Senior AI Infrastructure Platform Engineer

State Street

Senior AI Infrastructure Platform Engineer contributing to AI automation projects at State Street. Leading teams and driving technology solutions across various business units.

Posted 6/29/2026full-timeIrvine • California, Massachusetts, New Jersey, Texas • 🇺🇸 United StatesSenior💰 $90,000 - $157,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Full-Stack Development and Architecture, with a strong focus on GenAI and Agentic AI projects. Proficient in driving automation strategies and collaborating across business and IT to deliver innovative technology solutions.

Highest-signal resume keywords

Full-Stack DevelopmentGenAI Solutions DevelopmentPython ProgrammingAgile Development MethodologyCloud Certification

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonFastAPIUnixDockerPostgresLang ChainKubernetesDatabricksAPI DevelopmentCI/CD

Soft Skills

Strong Communication SkillsProject Management

Tools & Technologies

AWSAzureGITMavenHarnes

Certifications & Qualifications

Cloud CertificationAI CertificationML Certification

Industry Keywords

Technology DevelopmentConsultingFinancial ServicesAutomation StrategyEnterprise Architecture

Tech Stack

Tools & technologies

AWSAzureCloudDockerKubernetesMavenPostgresPythonUnix

About the role

Key responsibilities & impact

contribute individually as well as lead GenAI /Agentic AI projects through your full-stack development and architecture expertise
work closely across business and IT, strong communication skills are necessary
lead Development projects independently and work with Business, IT and Infrastructure teams
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

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
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

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