Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Senior Manager, AI Engineer, Intelligence & Data Solutions (IDS)
- Location
- Bengaluru
- Type
- Full time
- Posted
- 2H AGO
About the role
About Us
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, fintechs, 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 VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability.
What an AI Engineer does at Visa:
Key Responsibilities:
- 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.
- 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.
- Quality & Governance: Define and enforce rigorous model validation, testing, monitoring, and governance standards ensuring ethical AI deployment, bias mitigation, explainability, and regulatory compliance.
Why this is important to Visa:
This role is central to shaping how our organization uses AI, Machine Learning, and Generative AI to transform the way we work. By building AI capabilities that automate and streamline workflows, augment decision-making, and enhance our practices, this role will drive meaningful innovation and improve how we deliver outcomes for our clients and the business.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
- 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 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.
- 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.
Preferred Qualifications:
- PhD or Master’s degree in Computer Science, Machine Learning, Software engineering from a top-tier institution.
- Contributions to open-source AI projects or active participation in AI research communities
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.
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