{"id":4163906,"url":"https://alion.io/job/visa-senior-manager-ai-engineer-intelligence-data-solutions-ids","title":"Senior Manager, AI Engineer, Intelligence & Data Solutions (IDS)","company":{"id":83,"name":"Visa","domain":"visa.com","url":"https://alion.io/company/visa","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":135,"ghost_share":0.022,"stale_share":0.541,"repost_share":0.059,"time_to_fill_p50_days":34,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"Claude","optional":false},{"name":"Computer Vision","optional":false},{"name":"Feature Store","optional":false},{"name":"Fine-tuning","optional":false},{"name":"JAX","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Red Teaming","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"RLHF","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-11-12T12:59:44Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T16:03:24Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Us\nVisa 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.\nAt 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.\nJoin Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.\nJob Description\nTeam Description:\nVisa 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.\nThe 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.\nWhat an AI Engineer does at Visa:\nKey Responsibilities:\nContribute 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. \nAdvanced 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.\nPlatform 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.\nInnovation & 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.\nQuality & Governance: Define and enforce rigorous model validation, testing, monitoring, and governance standards ensuring ethical AI deployment, bias mitigation, explainability, and regulatory compliance.\nWhy this is important to Visa:\nThis 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.\nVisa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.\nQualifications\nBasic Qualifications:\n10-12+ years of relevant AI/ML experience with demonstrated leadership in delivering enterprise-scale AI solutions.\nDeep expertise in Generative AI, including hands-on experience with LLMs (GPT, Claude, Llama, etc.), prompt engineering, fine-tuning, and production deployment of GenAI applications.\nProficiency of Agentic AI architectures including multi-agent systems, autonomous reasoning frameworks, tool-use agents, and workflow orchestration platforms (Bedrock, LlamaIndex, AutoGen, etc.).\nDeep Learning experience with across transformer architectures, reinforcement learning, computer vision, NLP, and time-series forecasting with frameworks like PyTorch, TensorFlow, JAX.\nCompetency in software languages such as React for integrating AI solutions into applications or visual interfaces.\nProduction ML systems experiences such as implementing LLMOps/MLOps best practices, model monitoring, A/B testing, feature stores, model registries, and automated retraining pipelines.\nExperience with Agentic systems latency reduction and also guardrails, prompt injections, red teaming etc.\nAbility to communicate insights clearly to both technical and non-technical audiences. \nStrong analytical thinking, attention to detail, and commitment to data/model quality. \nDemonstrated interest in learning emerging AI technologies and best practices. \nPrevious exposure to financial services or credit card analytics is a plus.\nPreferred Qualifications:\nPhD or Master’s degree in Computer Science, Machine Learning, Software engineering from a top-tier institution.\nContributions to open-source AI projects or active participation in AI research communities\nVisa is an EEO Employer\nQualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. 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