AI Engineering Manager
doolaSalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Payments, TechnologyIndustries
Requirements
- Expertise in designing, developing, and implementing agentic AI systems (autonomous agents capable of reasoning, planning, and executing tasks)
- End-to-end ownership capability from ideation through deployment, including strategic program leadership, technical depth, and cross-functional collaboration
- Experience leading AI transformation roadmaps for workflow automation aligned with business objectives
- Proficiency in discovery and design: mapping business processes, identifying automation opportunities, defining agent roles, capabilities, and governance guardrails
- Skills in developing and prototyping solutions using large language models (LLMs), agent frameworks, and workflow orchestration tools
- Ability to provide technical oversight: reviewing code and prompts, guiding system design, defining evaluation methodologies and performance benchmarks
- Program management experience: managing sprints, milestones, budgets, and stakeholder engagement
- Partnership skills with business leaders to translate challenges into AI solutions and quantify ROI
- Collaboration with multidisciplinary teams (AI engineers, data scientists, UX, operations)
- Leadership in organizational adoption of AI tools via Centers of Excellence or transformation programs
- Oversight of integration and deployment: ensuring connectivity via APIs, data pipelines, and workflow platforms
- Knowledge of governance and risk management: enforcing standards for security, privacy, and responsible AI
Responsibilities
- Lead the design, development, and implementation of agentic AI systems to drive enterprise workflow automation and productivity
- Own the AI transformation roadmap for workflow automation, aligning initiatives with business objectives and delivering measurable outcomes
- Lead discovery and design efforts by mapping business processes, identifying high-value automation opportunities, and defining agent roles, capabilities, and governance guardrails
- Develop and prototype solutions by building proof-of-concepts leveraging LLMs, agent frameworks, and workflow orchestration tools
- Provide technical oversight by reviewing code and prompts, guiding system design decisions, and defining evaluation methodologies and performance benchmarks
- Drive program execution by managing sprints, milestones, budgets, and stakeholder engagement across cross-functional teams
- Partner with business leaders to translate operational challenges into scalable AI solutions and quantify ROI
- Collaborate with multidisciplinary teams—including AI engineers, data scientists, UX, and operations—to deliver impactful outcomes
- Lead organizational adoption of AI tools and processes through Centers of Excellence or transformation programs
- Oversee integration and deployment, ensuring seamless connectivity between AI agents and enterprise systems through APIs, data pipelines, and workflow platforms
- Ensure governance and risk management by enforcing standards for security, privacy, and responsible AI
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this position remote or on-site?
This is an on-site position.
What are the key responsibilities of the Director, AI Transformation role?
The role involves leading the design, development, and implementation of agentic AI systems for enterprise workflow automation, owning the AI transformation roadmap, and leading discovery and design efforts to identify automation opportunities.
What skills are needed for this position?
The role requires technical depth in agentic AI systems, strategic program leadership for AI transformation roadmaps, and skills in cross-functional collaboration, process mapping, and prototyping solutions.
What is the team structure for this role?
The position is within the AI Practices & COE sub-team under the AI Products & Analytics team in the Global Data Office, which is a cross-functional team of data scientists, product/program managers, data engineers, and ML Engineers.
What makes a strong candidate for this Director role?
A strong candidate will have experience leading end-to-end AI projects with technical expertise in agentic AI, the ability to align initiatives with business objectives, and skills in cross-functional collaboration to drive measurable outcomes in workflow automation.
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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