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Director - Software Engineer (Generative AI)

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Are you passionate about the future of Generative AI and eager to deliver the next generation of intelligent applications using AI and Automation?

 

We are looking for a hands-on software development leader and people manager with a commitment to developing and releasing exceptional products that bring immense value and satisfaction to customers and business.

 

This role reports to the Vice President of Corporate Generative AI and will place you at the forefront of innovation and GenAI development at Visa. You will be leading a product development team implementing cutting-edge Generative AI products to revolutionize Visa's internal and corporate functions. You will be working in a highly Agile environment delivering best-in-class solutions using the latest GenAI technologies, such as Autonomous Agents, Assistants and other productivity enhancing capabilities.

 

If you're ready to make a significant impact on corporate productivity and work with a team of brilliant minds, this is the opportunity for you!

 

Essential Functions

  • Lead and motivate a team of GenAI and Automation developers to design, deliver and roll out high-quality GenAI products on time and as promised.
  • Work closely with product management and business stakeholders to fully understand the vision, gather requirements, work with a backlog, set expectations, and provide product updates.
  • Build and deploy enterprise-grade GenAI products to improve productivity and efficiency, ensuring they are robust, secure, and equipped with all necessary guardrails.
  • Measure KPIs to showcase improvements in productivity and time savings for employees and using these KPIs to enhance the product to further improve productivity and efficiency.
  • Leverage end of sprint demos to get approval for feature deployment, and work with product management and architects to prioritize feedback.
  • Stay updated with the latest developments in AI and machine learning technologies to provide informed support to the team.
  • Ensure all products developed conform to Visa’s high standards of security, quality, performance, resiliency, and compliance.
  • Collaborate with security, privacy, and governance teams to ensure that the products developed comply with relevant policies, standards, and regulations.
  • Liaise with other developers, business units, product managers, engineering, and other applicable groups to ensure flawless execution.


This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
 

Qualifications

Basic Qualifications
•10+ years of relevant work experience and a Bachelors degree, OR 13+ years of relevant work experience

Preferred Qualifications
12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
•Leadership: Proven leadership experience in managing and mentoring a team of developers, fostering a collaborative and high-performance work environment, with the ability to align team goals with organizational objectives.
•Software Delivery and Reliability Engineering: Track record of delivering high-quality, enterprise software applications, complete understanding of release management, DevOps, reliability engineering, high availability, resiliency, monitoring, operations automation, infrastructure as code, configuration as code, customization as code.
•Agile Methodology: Strong understanding and implementation of Agile frameworks like Scrum or Kanban, experience managing software development projects using Agile methodologies.
•GenAI Product Development (Preferred): Experience in delivering AI-based, chat-based, and agent-based products
•Coding and Technical Skills:
oProgramming Skills: Proficient in writing, testing, and maintaining high-quality code. Experienced in code reviews, multiple programming languages, frameworks, versioning tools like GitHub, SVN, Bitbucket (CI-CD), and test orchestration using Jenkins or equivalents.
oAI and Machine Learning: Knowledge of Large Language Models (LLMs) and fine-tuning techniques. Be aware of frameworks like TensorFlow and PyTorch, and understand the basics of NLP tasks such as Named Entity Recognition and Text Classification.
oPrompt Engineering and RAG: Recognize the significance of prompt engineering and Retrieval-Augmented Generation (RAG) techniques. Be familiar with tools and frameworks that support effective prompt design and hybrid search methods.
oData Science and API Development: Understand data preprocessing, feature engineering, and handling large-scale datasets. Know the basics of real-time AI applications and designing RESTful APIs.
oGenerative AI Tools & Platforms: Be aware of tools like LangChain, LlamaIndex, and Hugging Face Transformers, as well as GenAI APIs like OpenAI and Gemini.
oAI Compliance & Guardrails: Understand AI compliance frameworks and best practices for ethical AI usage. Be familiar with implementing guardrails to ensure responsible AI deployment.
•Project Management: Experience leading complex projects from inception to completion, with demonstrated ability to drive innovation and continuous improvement across projects with a development team, experience managing multiple projects and priorities in a fast-paced, dynamic environment.
•Communications Skills: Excellent verbal and written communications skills.
•Innovation: A passion for innovation and a commitment to staying up-to-date with the latest advancements in Generative AI.
•Critical Thinking: Exceptional analytical and problem-solving skills, with a knack for making data-driven decisions.
•10 or more years of work experience as a people leader managing development and delivery teams.
•Hands-on experience in programming languages and software development, deployment, release management, testing, automation.

Additional Information

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.

Average salary estimate

$150000 / YEARLY (est.)
min
max
$120000K
$180000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Director - Software Engineer (Generative AI), Visa

Are you ready to step into an exciting role as a Director - Software Engineer (Generative AI) at Visa in Bangalore, India? If you have a passion for innovative technology and a knack for leading development teams, this is the opportunity you’ve been looking for. At Visa, we’re redefining the payments landscape and using Generative AI to enhance our corporate functions. In this role, you’ll be the driving force behind a talented team of developers, guiding them to deliver cutting-edge AI products that bring unparalleled value to our customers. You will collaborate closely with product managers and stakeholders to set ambitious goals, manage the product backlog, and ensure timely delivery of top-class solutions. Moreover, by implementing KPIs, you’ll not only track productivity improvements but also refine our offerings for further enhancements. Imagine being at the helm of a hybrid environment—balancing remote work with collaborative office days—as you harness the best of both worlds to inspire and guide your team. Your wealth of experience in software engineering, leadership, and Generative AI will shine as you push the boundaries of what's possible. With comprehensive knowledge of Agile methodologies, coding best practices, and the latest in AI technologies, you’ll ensure that our solutions are not just functional but robust and secure, conforming to Visa's high standards. Join us and contribute to an environment where your ideas are not only welcomed but celebrated. At Visa, you’ll find a place to grow, innovate, and make a real impact within the evolving world of payment technology!

Frequently Asked Questions (FAQs) for Director - Software Engineer (Generative AI) Role at Visa
What are the responsibilities of a Director - Software Engineer (Generative AI) at Visa?

As a Director - Software Engineer (Generative AI) at Visa, your primary responsibilities include leading a team of developers in creating high-quality generative AI solutions, collaborating with product management to gather requirements and updates, and ensuring that the developed products meet Visa's rigorous standards for security and performance. You'll also be tasked with measuring KPIs to demonstrate productivity enhancements and steering your team through Agile project management practices.

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What qualifications do I need to apply for the Director - Software Engineer (Generative AI) position at Visa?

To apply for the Director - Software Engineer (Generative AI) position at Visa, you're expected to have at least 10 years of relevant work experience along with a Bachelor's degree. However, preferred candidates will have 12+ years of experience with advanced degrees, comprehensive leadership experience, and an in-depth understanding of Generative AI development, Agile methodologies, and proficient coding skills across multiple programming languages.

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How does Visa ensure the security and quality of Generative AI products?

At Visa, ensuring the security and quality of Generative AI products involves strict adherence to internal policies and regulations. The Director - Software Engineer (Generative AI) will collaborate with security, privacy, and governance teams to implement necessary compliance measures. Continuous performance monitoring and using established KPIs will also help refine and enhance the product offerings.

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What is the team structure for the Director - Software Engineer (Generative AI) role at Visa?

In the Director - Software Engineer (Generative AI) role at Visa, you'll lead a dynamic team of AI and automation developers while working closely with product managers, business stakeholders, and other engineering groups. Your leadership will foster a high-performance culture, aligning team objectives with Visa's strategic goals, thereby ensuring successful project outcomes and innovation.

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What is the work environment like for the Director - Software Engineer (Generative AI) at Visa?

The work environment for the Director - Software Engineer (Generative AI) at Visa is hybrid, allowing you to work both remotely and in the office. This flexibility promotes collaboration while enabling you to manage your time effectively. Leadership will provide guidelines for in-office attendance, ensuring that you and your team can connect and collaborate efficiently.

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Common Interview Questions for Director - Software Engineer (Generative AI)
What experience do you have with managing software development teams?

Discuss your past roles where you managed software development teams, focusing on your leadership style, how you motivated team members, and the results achieved. Highlight any methodologies you championed, like Agile, and specific projects that showcase your ability to deliver outstanding outcomes.

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Can you explain your experience with Generative AI technologies?

Be prepared to discuss specific Generative AI technologies you have used, such as Large Language Models or tools like TensorFlow. Share examples of projects where you've successfully implemented these technologies and how they impacted productivity or enhanced product offerings.

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How do you prioritize features when managing a product backlog?

Explain your approach to backlog management, emphasizing collaboration with stakeholders and user feedback. Discuss methodologies like MoSCoW or Weighted Shortest Job First, which help prioritize features based on business value, effort, and impact on user experience.

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What strategies do you employ to ensure the security of software products you develop?

Highlight your awareness of industry security standards and practices, such as OWASP guidelines. Discuss how you collaborate with security teams to conduct audits, code reviews, and maintain compliance with regulations to ensure robust security in your AI products.

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How have you measured the success of your AI product implementations?

Discuss how you define success through specific KPIs such as user adoption rates, time savings, and productivity improvements. Be prepared to share past experiences where you gathered and analyzed these metrics, driving continuous improvement in your projects.

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Describe a challenging project you led and how you overcame issues.

Share a specific example of a project that faced significant obstacles. Detail the nature of the challenges, your strategies for addressing them, and the outcomes. Be sure to focus on your leadership role and how you rallied your team to achieve project goals.

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What processes do you follow for performance monitoring of development teams?

Discuss the importance of regular check-ins, sprint retrospectives, and KPIs to monitor performance. Highlight how you utilize tools for project management and team collaboration to ensure transparency and continuous feedback among team members.

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Can you provide examples of how you've implemented Agile methodologies?

Provide specific examples of Agile frameworks you have implemented in past roles, such as Scrum or Kanban. Discuss how these methodologies improved project efficiency and team collaboration, highlighting real-world outcomes.

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How do you stay updated on emerging trends in AI technology?

Discuss the sources you use to keep abreast of developments in AI, such as online courses, webinars, industry journals, and networking with professionals in the field. Mention any conferences or seminars you've attended to enhance your understanding of the latest AI trends.

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What are your long-term goals in the Generative AI field?

Articulate your vision for your career in the field of Generative AI, including areas you wish to explore or specialize in. Connect your aspirations to the broader trends in technology and how you aim to contribute to Visa's mission in this transformative space.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
December 20, 2024

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