Associate Director AI|ML Engineering Lead

• Machine learning engineers feed data into models defined by data scientists.
• Theyre also responsible for taking theoretical data science models and helping scale them out to production-level models that can handle terabytes of real-time data.

• University (Degree) Preferred

• 5 Years Required; 7 Years Preferred

• Physical Requirements: Sedentary Work

Role Overview

Lead a high-performing engineering team responsible for building distributed scalable and low-latency applications on AWS using Python. The role involves hands-on development architecture design and AI/ML integrationspanning the full SDLC data management and emerging Generative AI technologies.

Key Responsibilities

Application & Cloud Development

• Architect and build large-scale Python applications using frameworks such as containers FastAPI optimized for low latency and scalability.
• Design and manage cloud-native solutions leveraging AWS services (Lambda Glue jobs S3 SQS SNS DynamoDB EKS CloudFront IAM etc.).

Data Engineering & Management

• Design and maintain data ingestion and processing pipelines for structured and unstructured data.
• Work with relational (PostgreSQL SQL Server) and non-relational (DynamoDB MongoDB) databases and data lakes.
• Collaborate with data and analytics teams to ensure data integrity lineage and availability.

DevOps & SDLC

• Drive the full software development lifecycle including CI/CD automation testing container orchestration and monitoring.
• Implement DevOps practices using Docker Kubernetes Terraform GitHub Actions or Jenkins.
• Ensure efficient secure and reproducible deployments across environments.

AI ML & GenAI Development

• Develop and deploy machine learning and deep learning models for business and analytical use cases.
• Build Generative AI solutions including:
  • RAG (Retrieval-Augmented Generation) pipelines
  • Prompt engineering and LangGraph/agentic AI frameworks
  • LLM fine-tuning reinforcement training and performance benchmarking
  • Observability frameworks for model monitoring and traceability
• Collaborate with data scientists to move models from experimentation to production at scale.

Governance Security & Compliance

• Implement and enforce best practices for data governance cybersecurity and compliance.
• Apply IAM encryption and network security principles to protect sensitive data.
• Align all development and data processes with enterprise risk and regulatory standards.

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 were on a mission to build on our 100 year legacy of delivering for our clients while evolving to meet tomorrows 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 Nuveens entrepreneurial spirit where we work hard and work together to create lasting impact. Here every associate can grow through meaningful learning experiences and development pathwaysbecause when our people succeed our impact on clients lives grows stronger.

Accessibility Support

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