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As a Director (People Manager) in Data and AI Platform, you will

manage Visa Generative AI Platform team based in Bangalore,

India where you will be responsible and accountable for end-to-end

development and production support for Generative AI Platform - Core Services. This position will be responsible for day-to-day management of a team of up to 12 AIML and Data Engineers, inclusive of fulltime and contingent staff and own the throughput and deliverables of the teams.

 

The Work Itself:

The Director as a part of our Generative AI team, will play a multifaceted role in the design, development, and deployment of our Large Language Model (LLM) applications. Key responsibilities will include creating applications based on the Retrieval-Augmented Generation (RAG) framework, developing efficient inferencing algorithms, and fine-tuning the LLM to cater to various applications.
This role will also involve leveraging various machine learning stacks to enhance system efficiency, researching new techniques to advance our LLM applications, and collaborating with cross-functional teams within the organization. In addition, the engineer will be responsible for documenting processes and workflows and sharing insights with the team.

This position requires a solid understanding of AI and machine learning principles, robust problem-solving skills, and the ability to thrive in a fast-paced, dynamic environment.

Essential Functions

 

Responsible for end-to-end software engineering aspects of design,

development, testing and deployment of platform to support global

customer needs, product innovations and technical initiatives.

Responsible for technical capabilities of the product and the platform

in terms of data design/architecture, UI/UX design/architecture, and

API based backend systems.Create and promote an agile development culture in his or her team

focused on Engineering Excellence with high quality code

development and deployment to production.

Facilitate knowledge transfer to the Engineering and Operations team

during and after deployment.

Work with geographically distributed teams on technical challenges

and process improvements.

Drive the strong automation culture with proven and open source-

based technologies, frameworks, and best practices to reduce

complexity and encourage operational excellence to the team.

Engage and communicate with stakeholders of business, product,

technology, operations, and customer success teams.

Develop code, specifications, architecture and design documents as

needed

 

People Management:

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

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
Solid understanding of Large Language Models, Generative AI systems and applications.
Outstanding verbal, written, presentation, facilitation, and interaction skills,
including ability to effectively communicate architectural issues and
concepts to multiple organization levels.
Strong problem solving skills to deep dive, brainstorm, and choose best
solution approach.
Have prior hands-on experience using languages such as Python, Go, Java, Python, Rust. Strong on coding and code reviews.
Experience in leading teams that have built full stack applications from the
ground-up using distributed high performance and scalable technologies
such as K8s, Docker, Ray, Airflow, Hadoop, Saprk, Kafka and so on.
Experience in leading teams that have built cloud platform solutions using
AWS, Azure and GCP for high performance real time AIML applications
Experience in DevSecOps world - Github/Git, CI/CD Pipelines, Jenkins,
Ansible, Shell Scripts, Security Tools, Observability, Alerting, IaC etc.
Strong proponent of Innovation and open-source contributions.
Background in developing and deploying AIML platforms and applications
in on premises and public cloud infrastructure.