Senior Engineering Manager- AI/ML
AledadeSalary not specified
Full Time
Expert & Leadership (9+ years), Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Payments, TechnologyIndustries
Requirements
- Expertise in AI/ML platforms, including model training, experimentation environments, real-time inference, and Generative AI solutions
- Experience leading cross-functional teams in a matrixed organization, including product managers, engineers, and data scientists
- Ability to define and execute AI/ML platform strategy and roadmap aligned with business objectives
- Knowledge of cloud migration for AI/ML workloads and partnerships with public cloud providers (AWS SageMaker, Google Vertex AI, Microsoft Azure ML)
- Hands-on expertise in designing cloud-native architectures and enterprise-scale applications
- Strong product management skills, including defining requirements, acceptance criteria, success metrics (SLAs, KPIs), backlog grooming, and delivery oversight
- Understanding of compliance, model risk management, and onboarding requirements
- Ability to monitor market trends, competitive dynamics, and client needs
- Experience building business cases, prototyping, and launching AI-powered solutions
- Leadership skills to foster innovation, accountability, and operational excellence
Responsibilities
- Define and execute the AI/ML platform NorthStar strategy and roadmap, aligning with Visa’s global data, AI/ML, and business objectives
- Partner with business and technology to develop a comprehensive plan for migrating AI/ML workloads to the cloud
- Monitor market trends, competitive dynamics, and client needs to guide platform evolution and long-term planning
- Advocate for exceptional customer experiences powered by advanced AI capabilities
- Lead cross-functional teams to translate customer needs into platform capabilities
- Directly manage a team of product managers, fostering a culture of innovation, accountability, and operational excellence
- Own the product definition and delivery of Visa’s AI/ML stack across cloud and on-premises environments
- Drive conceptualization, prototyping, and launch of AI-powered solutions at the intersection of payments and technology
- Build business cases for new AI/ML capabilities and evolve platform features to meet practitioner needs
- Partner with business units, product leaders, and engineering teams for alignment and execution
- Represent Visa in engagements with public cloud providers and internal stakeholders
- Define detailed platform requirements, acceptance criteria, and success metrics (e.g., SLAs, operational KPIs)
- Apply hands-on expertise in designing cloud-native architectures and enterprise-scale applications
- Lead backlog grooming and facilitate collaboration across product, engineering, and data science teams
- Ensure platform capabilities meet compliance, model risk management, and onboarding requirements
- Oversee development and delivery to ensure adherence to timelines
Skills
AI
ML
Generative AI
Cloud
Model Training
Experimentation
Real-time Inference
Platform Strategy
Scalable Infrastructure
Cross-functional Leadership
Visa
Global digital payment network provider
About Visa
Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.
San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees
Benefits
Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.
Risks
CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.
Differentiation
Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).
Upsides
Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.
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