Data Scientist AI Engineer

This is a Non-Employee Contingent Worker Role providing services for TIAA’s family of companies and will be employed by TIAA's preferred 3rd Party Supplier. As a Non-Employee CW, perform a variety of moderately complex business planning, support, and project-related duties. Demonstrates an exceptional standard of quality and holds themselves accountable to achieving excellent results. This role will sit onsite, likely in a hybrid capacity, at the location(s) listed in this posting. The anticipated term of this engagement will be 12 months. This term could be extended based on company business needs. CW-IT Applications Developer IV Develops, implements and assesses specific new and emerging technologies, platforms, and services. Key Responsibilities And Duties Assessing the technical viability of emerging products and technologies. Working with developers and infrastructure specialists to test and evaluate new technologies. Participating in the development of business cases and obtaining approvals for capital expenditures. Monitoring and analyzing new technology product performance and resolving issues regarding potential improvements or modifications to complex situations, as needed. Educational Requirements University (Degree) Preferred Work Experience 5+ Years Required; 7+ Years Preferred Physical Requirements Physical Requirements: Sedentary Work Career Level 8IC Seeking an AI Engineer with hands-on development experience writing & debugging production code. Strong proficiency in Python with demonstrated experience building AI agents and workflows using LangChain and LangGraph. Proficiency with CI/CD tooling across the full software development lifecycle including Git, pipelines, automated testing, deployment automation. Familiarity with vector databases, embeddings and RAG pipelines. Understanding of model evaluation, testing strategies, and responsible AI practices. Start Date: 06-Jul-2026 End Date: 31-Jul-2027 Travel Required: No Anticipated Posting End Date 2026-06-05 Base Pay Range: $53.18/hr - $85.57/hr Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. _____________________________________________________________________________________________________ Equal Opportunity We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status. Our full EEO & Non-Discrimination statement is on our careers home page, and you can read more about your rights and view government notices here. Accessibility Support TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities. If You Are a U.S. Applicant And Desire a Reasonable Accommodation To Complete a Job Application Please Use One Of The Below Options To Contact Our Accessibility Support Team Phone: (800) 842-2755 Email: [email protected] Drug and Smoking Policy TIAA maintains a drug-free and smoke/free workplace. Privacy Notices For Applicants of TIAA, Nuveen and Affiliates residing in US (other than California), click here. For Applicants of TIAA, Nuveen and Affiliates residing in California, please click here. For Applicants of TIAA Global Capabilities, click here. For Applicants of Nuveen residing in Europe and APAC, please click here. , Seeking an AI Engineer with hands-on development experience writing & debugging production code. Strong proficiency in Python with demonstrated experience building AI agents and workflows using LangChain and LangGraph. Proficiency with CI/CD tooling across the full software development lifecycle including Git, pipelines, automated testing, deployment automation. Familiarity with vector databases, embeddings and RAG pipelines. Understanding of model evaluation, testing strategies, and responsible AI practices.