Associate Director - AI and Machine Learning Engineering Lead

Role Overview: You will lead a high-performing engineering team responsible for building distributed, scalable, and low-latency applications on AWS using Python. Your role will involve hands-on development, architecture design, and AI/ML integrationspanning the full SDLC, data management, and emerging Generative AI technologies. Key Responsibilities: - 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.). - Design and maintain data ingestion and processing pipelines for structured and unstructured data. - Collaborate with data and analytics teams to ensure data integrity, lineage, and availability. - Drive the full software development lifecycle including CI/CD automation, testing, container orchestration, and monitoring. - 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, LangGraph/agentic AI frameworks, LLM fine-tuning, reinforcement training, and performance benchmarking. - 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. Qualification Required: - University Degree Preferred - Work Experience: 5+ Years Required; 7+ Years Preferred Company Overview: TIAA Global Capabilities, established in 2016, focuses on building a scalable and sustainable organization with a mission to reduce risk, enhance technology stack, and contribute to innovation. The company works closely with U.S. colleagues and other partners to improve efficiency, develop innovative ideas, and increase throughput and productivity. TIAA is an Equal Opportunity Employer and values diversity and inclusion in the workplace. **Note: The additional details of the company have been included in the JD for better context and understanding of TIAA Global Capabilities. Role Overview: You will lead a high-performing engineering team responsible for building distributed, scalable, and low-latency applications on AWS using Python. Your role will involve hands-on development, architecture design, and AI/ML integrationspanning the full SDLC, data management, and emerging Generative AI technologies. Key Responsibilities: - 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.). - Design and maintain data ingestion and processing pipelines for structured and unstructured data. - Collaborate with data and analytics teams to ensure data integrity, lineage, and availability. - Drive the full software development lifecycle including CI/CD automation, testing, container orchestration, and monitoring. - 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, LangGraph/agentic AI frameworks, LLM fine-tuning, reinforcement training, and performance benchmarking. - 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. Qualification Required: - University Degree Preferred - Work Experience: 5+ Years Required; 7+ Years Preferred Company Overview: TIAA Global Capabilities, established in 2016, focuses on building a scalable and sustainable organization with a mission to reduce risk, enhance technology stack, and contribute to innovation. The company works closely with U.S. colleagues and other partners to improve efficiency, develop innovative ideas, and increase throughput and productivity. TIAA is an Equal Opportunity Employer and values diversity and inclusion in the workplace. **Note: The additional details of the company have been included in the JD for better context and understanding of TIAA Global Capabilities.