Senior Manager, AI Engineer, Intelligence & Data Solutions (IDS)

Overview

Senior Manager, AI Engineer role within Visa Consulting and Analytics' Intelligence & Data Solutions (IDS) team, contributing to end-to-end AI/ML and Generative AI projects.

What you'll do

• Contribute to end-to-end AI/ML and Generative AI projects, translating business needs into technical solutions and participating in model design, development, and deployment.
• Design and implement state-of-the-art deep learning architectures, foundation models, and custom GenAI solutions, including retrieval-augmented generation (RAG), fine-tuning strategies, prompt engineering frameworks, and multi-modal AI systems.
• Build and govern production-grade AI platforms with robust LLMOps, AgenticAIOps, and MLOps practices, ensuring scalability, reliability, security, and observability across the full ML lifecycle.
• Drive R&D initiatives exploring frontier AI technologies, including reinforcement learning from human feedback (RLHF), chain-of-thought reasoning, tool-augmented agents, and emergent AI capabilities.
• Define and enforce rigorous model validation, testing, monitoring, and governance standards ensuring ethical AI deployment, bias mitigation, explainability, and regulatory compliance.

What you'll need

• 10-12+ years of relevant AI/ML experience with demonstrated leadership in delivering enterprise-scale AI solutions.
• Deep expertise in Generative AI, including hands-on experience with LLMs (GPT, Claude, Llama, etc.), prompt engineering, fine-tuning, and production deployment of GenAI applications.
• Proficiency in Agentic AI architectures, including multi-agent systems, autonomous reasoning frameworks, tool-use agents, and workflow orchestration platforms (Bedrock, LlamaIndex, AutoGen, etc.).
• Deep learning experience across transformer architectures, reinforcement learning, computer vision, NLP, and time-series forecasting with frameworks like PyTorch, TensorFlow, JAX.
• Competency in software languages such as React for integrating AI solutions into applications or visual interfaces.
• Production ML systems experience, such as implementing LLMOps/MLOps best practices, model monitoring, A/B testing, feature stores, model registries, and automated retraining pipelines.
• Experience with Agentic systems latency reduction, and with guardrails, prompt injections, red teaming, etc.
• Ability to communicate insights clearly to both technical and non-technical audiences.
• Strong analytical thinking, attention to detail, and commitment to data/model quality.
• Demonstrated interest in learning emerging AI technologies and best practices.

Nice to have

• Previous exposure to financial services or credit card analytics.
• PhD or Master's degree in Computer Science, Machine Learning, or Software Engineering from a top-tier institution.
• Contributions to open-source AI projects or active participation in AI research communities.

Details

• Location: Bengaluru, India.
• Work mode: at least 3 days in office, with expectations confirmed by the Hiring Manager.