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Job Description: EY GDS Generative AI Pod Lead

Responsibilities

• Responsible for the end end-to-end process from project inception to the design, development, and deployment of GenAI models, leveraging agile and DevOps methodologies to ensure rapid and efficient delivery of high-quality solutions.
• Collaborate closely with business stakeholders and other cross-functional teams to define and prioritize AI-driven product features and capabilities based on their requirements.
• Continuously monitor and evaluate the performance of AI models and processes, identifying areas for improvement and implementing necessary enhancements to ensure optimal results.
• Stay up-to-date with the latest advancements in GenAI, analytics, ensuring BANK remains at the forefront of innovation and maintains a competitive edge in the industry.
• Participate in regular reviews and audits of AI-driven processes, providing insights and recommendations for improvements to ensure ongoing alignment with BANK's strategic goals and regulatory requirements.
• Ensure adherence to data privacy and security standards, safeguarding sensitive customer and business information while maintaining compliance with relevant regulations.
• Establish and maintain strong relationships with internal and external partners, fostering a collaborative environment that encourages knowledge sharing and drives product success.
• Develop and execute comprehensive system test plans for BANK's GenAI platform for your respective domain, ensuring the highest quality and performance of newly developed AI capabilities across various business areas.

Technical Knowledge

• Strong Proficient in Python. Familiarity with JavaScript would be beneficial.
• Proficient using version control systems such as Git.
• Proven experience of working with GenAI, Large Language Models (LLM), Natural Language Processing (NLP) techniques
• Experience with popular Python web frameworks such as Flask or FastAPI.
• Knowledge of relational databases, such as SQL Server.
• Experience working in a cloud environment, such as Microsoft Azure.
• Ability to write unit tests and conduct Test-Driven Development (TDD).
• Experience working with CI/CD pipelines for automated build, testing and deployment.
• Experience working in an agile environment.
• Ability to write clear and comprehensive documentation for code and APIs.

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