Senior AI Platform Engineer - Cloud & Enterprise Scale

TIAA; Texas; On-site; USD 93,000 - 128,000; Full time

Job summary

TIAA is seeking a Senior Engineer for AI Platforms to design and deliver scalable cloud infrastructure on AWS that underpins enterprise AI capabilities. You will collaborate with AI and infrastructure teams to provision, configure, and support cloud environments and internal applications powering our AI platform.

Ideal candidates bring deep technical expertise, architectural thinking, and a track record mentoring engineers, translating complex requirements into robust infrastructure aligned with

Qualifications

• 3+ years of experience in application development delivering enterprise-grade software solutions.
• 3+ years of hands‑on Java (Spring Boot) experience including microservices, REST APIs, and serverless functions using AWS Lambda.
• 3+ years of experience with CI/CD tools such as Jenkins or CloudBees, including participation in establishing and improving pipeline standards, release management processes, and DevOps practices across engineering teams.

Responsibilities

• Design scalable cloud infrastructure solutions in AWS to support AI platform capabilities and internal apps.
• Lead architectural discussions and drive alignment across engineering teams.
• Develop and maintain internal applications and tooling for infrastructure operations, monitoring, and AI workflows.
• Interpret requirements and architecture specs to deliver scalable, secure infrastructure solutions.
• Create and maintain technical documentation including diagrams, standards, and runbooks.

Skills

Java

Spring Boot

Microservices

REST APIs

Serverless AWS Lambda

CI/CD

Education

Bachelor’s Degree

Tools

AWS services

Jenkins

CloudBees

Job description

TIAA is seeking a Senior Engineer for AI Platforms to design and deliver scalable cloud infrastructure on AWS that underpins enterprise AI capabilities. You will collaborate with AI and infrastructure teams to provision, configure, and support cloud environments and internal applications powering our AI platform.

Ideal candidates bring deep technical expertise, architectural thinking, and a track record mentoring engineers, translating complex requirements into robust infrastructure aligned with