Senior AI Engineer at Visa

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML, Generative AI, LLMs, Agentic AI, Deep Learning, RAG, Prompt Engineering, LLMOps, MLOps, DevOps, DataOps, Kubernetes, Docker, Terraform, AWS, Azure

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description Team Description Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintech's, payment enablers and governments. The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage Visa Net, one of the largest datasets globally, to help clients enhance their performance and increase profitability. Key Responsibilities: Strategic Leadership: Lead the design and execution of enterprise-scale AI/ML and Generative AI initiatives, driving technical vision and translating complex business challenges into innovative AI solutions that deliver measurable business impact. Contribute to end‑to‑end AI/ML and Generative AI projects, helping translate business needs into technical solutions and participating in model design, development, and deployment. Technical Architecture: Architect and oversee end-to-end AI/ML systems including large language models (LLMs), agentic AI frameworks, and multi-agent orchestration platforms that operate at scale across global infrastructure. Advanced Model Development: 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. Platform Engineering: 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. Innovation & Research: 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. DevOps Excellence: Champion modern DevOps and DataOps practices, implementing CI/CD pipelines, infrastructure-as-code, containerization (Docker/Kubernetes), and cloud-native architectures (AWS/Azure/GCP) for AI workloads. Quality & Governance: Define and enforce rigorous model validation, testing, monitoring, and governance standards ensuring ethical AI deployment, bias mitigation, explain ability, and regulatory compliance. Technical Mentorship: Lead, mentor, and upskill data science teams, establishing best practices, coding standards, model governance frameworks, and fostering a culture of technical excellence and continuous learning. Why this is important to Visa This role is central to shaping how our organization uses AI, Machine Learning, and Generative AI to make smarter decisions, build scalable digital capabilities, and drive meaningful innovation. By developing full-stack data science solutions and next-generation AI models, this role directly improves how we understand customers, streamline This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 6 or more years of relevant work experience with a Bachelor's Degree Preferred Qualifications: 6+ 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 of Agentic AI architectures including multi-agent systems, autonomous reasoning frameworks, tool-use agents, and workflow orchestration platforms (Bedrock, LlamaIndex, AutoGen, etc.) Deep Learning experience with 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. Strong DevOps and platform engineering including Kubernetes, Docker, Terraform, CI/CD pipelines, microservices architecture, and cloud-native development (AWS SageMaker, Azure ML, GCP Vertex AI) Production ML systems experiences 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 also 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. Previous exposure to financial services or credit card analytics is a plus. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Job Family Group: Product Development

Responsibilities

Lead the design and execution of enterprise-scale AI/ML and Generative AI initiatives, translating complex business challenges into innovative AI solutions that deliver measurable business impact. Architect and oversee end-to-end AI/ML systems including LLMs, agentic AI frameworks, and multi-agent orchestration platforms.