Sr. Director, Software Engineering (GenAI/Cloud)

Visa•Austin, TX

6d•Hybrid

About The Position

The Value-Added Services Product Development (VAS PD) team drives the diversification of Visa revenue with products that differentiate Visa network and deliver valuable solutions across other networks. Risk and Security Solutions (RAS) team in VAS focuses on innovative, AI-driven risk and fraud management solutions for issuers, merchants and fintech's. The Sr. Director of Engineering in the RAS Product Development team will be responsible for leading the technology strategy, solution, and execution of initiatives that support our business objectives. This role focuses on Integrated Risk Platform that supports all Risk and Security products such as Visa Enhanced Authentication, Decision Manager, Visa Risk Manager, Identity etc.

Requirements

12+ years of relevant work experience with a Bachelor’s Degree or at least 9 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 6 years of work experience with a PhD, OR 15+ years of relevant work experience.
15+ years of progressive engineering experience, including 12+ years leading large‑scale product development and delivery, with a Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
Proven expertise across modern technology stacks, including Java/J2EE, GoLang, Python, Spring Boot, React, RESTful APIs, SQL/NoSQL databases, Kubernetes, Kafka, and test automation frameworks.
Demonstrated success driving measurable improvements in engineering productivity, delivery velocity, system performance, reliability, and operational excellence through data‑driven leadership.
Deep experience with cloud‑native and DevSecOps architectures, leveraging AWS and/or Azure, containerization (Docker), Kubernetes, serverless computing, and automated CI/CD pipelines.
Advanced knowledge of Generative AI and Agentic AI, including hands‑on experience integrating LLMs, vector databases, RAG, prompt engineering, and AI governance into production platforms to achieve order‑of‑magnitude productivity gains.
Strong foundation in secure‑by‑design architecture, including zero‑trust, defense‑in‑depth, and compliance‑driven engineering within highly regulated, mission‑critical environments.
Recognized architectural leadership, with experience designing and operating globally distributed, active‑active, multi‑region platforms requiring high availability, resilience, and scalability.
Exceptional leadership, communication, and strategic thinking skills, with the ability to influence at all levels, mentor senior leaders, and articulate complex technical strategies to executive and business stakeholders.

Nice To Haves

15 or more years of experience with a Bachelor’s Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience

Responsibilities

Define and drive the enterprise engineering and cloud strategy, aligning with business and product goals to accelerate innovation, scalability, and time to market.
Lead adoption of Generative AI and Agentic AI across the SDLC, delivering up to 10X developer productivity and enabling differentiated, AI‑powered business solutions.
Provide senior technology leadership for cloud‑first platforms (AWS, Azure, GCP), ensuring systems are secure, resilient, cost‑optimized, and engineered for 5 9s+ availability.
Establish and enforce modern engineering excellence, including CI/CD automation, DevOps, testing, observability, and architectural standards to ensure reliability and quality at scale.
Lead, mentor, and grow high‑performing, multi‑disciplinary engineering teams, fostering a culture of ownership, inclusion, accountability, and continuous learning.
Partner closely with Product, Security, Privacy, and Governance leaders to define joint product and technology roadmaps and deliver compliant, scalable solutions that meet non‑functional requirements.
Drive delivery of secure, interoperable, and fit‑for‑purpose platforms and products, balancing speed with long‑term architectural integrity and operational excellence.
Communicate technical vision and execution plans clearly to executives and stakeholders, influencing decision‑making and aligning engineering outcomes with business KPIs and leadership principles.