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.
KEY RESPONSIBILITIES
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.
KEY RESPONSIBILITIES
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 Skills
Agile 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 _____________________________________________________________________________________________________
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…