Senior Associate - Application Lead

Senior Associate - Application Lead

Lead - Application Integration - IN
Professionals in this group are involved in middleware integration and on related support & troubleshooting to build applications or integrate in-house applications, databases and systems with any third party applications.

Key Responsibilities and Duties

• Develop and maintain application interfaces on tools such as Tibco Middleware, IBM WebSphere, etc.
• They should have the ability to develop integration flows and technically own and manage various elements of the solution.

Educational Requirements

• University (Degree) Preferred

Work Experience

• 5+ Years Required; 7+ Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level
8PL

ABOUT THE ROLE

We are looking for an experienced AI Lead Engineer who will build and maintain the systems that support AI and machine learning applications, working to ensure the systems are scalable, efficient, and reliable, lead a team of engineers, and work closely with product and business stakeholders to deliver impactful AI solutions across the organization.

• Deploy, manage and scale AI systems, as well as support model activity and deployment infrastructure in cloud environments
• Implement prompt engineering strategies, guardrails, and frameworks for LLM-powered applications
• Lead and mentor a team of AI engineers, setting technical direction and code quality standards
• Collaborate with data engineers, product managers, and business stakeholders to translate requirements into AI solutions
• Conduct code reviews, technical interviews, and contribute to a strong engineering culture
• Ensure compliance with data privacy, security, and responsible AI guidelines

REQUIRED QUALIFICATIONS

• 5+ Years Required, and 7+ years preferred, with at least 2 years in a lead or senior role
• Strong proficiency in Python and AWS

ABOUT THE ROLE

We are looking for an experienced AI Lead Engineer who will build and maintain the systems that support AI and machine learning applications, working to ensure the systems are scalable, efficient, and reliable, lead a team of engineers, and work closely with product and business stakeholders to deliver impactful AI solutions across the organization.

• Deploy, manage and scale AI systems, as well as support model activity and deployment infrastructure in cloud environments
• Implement prompt engineering strategies, guardrails, and frameworks for LLM-powered applications
• Lead and mentor a team of AI engineers, setting technical direction and code quality standards
• Collaborate with data engineers, product managers, and business stakeholders to translate requirements into AI solutions
• Conduct code reviews, technical interviews, and contribute to a strong engineering culture
• Ensure compliance with data privacy, security, and responsible AI guidelines

REQUIRED QUALIFICATIONS

• 5+ Years Required, and 7+ years preferred, with at least 2 years in a lead or senior role
• Strong proficiency in Python and AWS

Related SkillsAgile Methodology, Continuous Integration and Deployment, Data Analysis, Debugging, DevOps, Enterprise Application Integration, Operating Systems Management, Problem Solving, Programming, Software Development, Software Development Life Cycle, Web Application Development

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Company Overview

TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space.

 
Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.

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 Culture of Impact

At TIAA, we're on a mission to build on our 100+ year legacy of delivering for our clients while evolving to meet tomorrow's challenges. We equip our associates with future-focused skills and AI tools that enable us to advance our mission. Together, we are fighting to ensure a more secure financial future for all and for generations to come. We are guided by our values: Champion Our People, Be Client Obsessed, Lead with Integrity, Own It, and Win As One. They influence every decision we make and how we work together to serve our clients every day. We thrive in a collaborative in-office environment where teams work across organizational boundaries with shared purpose, accelerating innovation and delivering meaningful results. Our workplace brings together TIAA and Nuveen's entrepreneurial spirit, where we work hard and work together to create lasting impact. Here, every associate can grow through meaningful learning experiences and development pathways—because when our people succeed, our impact on clients' lives grows stronger.

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: accessibility.support@tiaa.org

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.

Experience Level

Mid Level