Gen AI Lead Consultant

• Ability to identify AI, Generative AI opportunities and use cases in discussions with the account teams – as part of the hackathons, workshops, brainstorming sessions etc.
• Ability to conduct AI/ Generative AI sessions/ demos for the account teams to enable/ help them identify AI/ Generative AI use cases.
• Provide technical expertise and thought leadership in the field of AI and Generative AI to guide account teams in adopting AI-driven solutions.
• Understand Infosys AI/ Generative AI solutions as well as solutions available in the market, to help in mapping the tools/ platforms for the opportunities identified.
• Help the account teams in the AI / Generative maturity assessment and facilitate in improvement of the AI maturity level.
• Help the account teams in conducting Generative AI survey to help seeking client’s readiness to adopt Generative AI technology.

Opportunity Implementation

• Have very good understanding of AI and Generative AI solutions, leveraging/ building AI/ Generative AI models and application of the opportunities identified.
• Ability to conduct POCs and guide implementation teams on data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making.
• Evaluate and select appropriate AI / Generative AI tools and machine learning models for tasks.
• Working across account teams to develop and architect Generative AI solutions using AI/ML and Generative AI.
• Ability to work with implementation teams to build and train working versions of those models (using Python/ PyTorch and other open-source technologies).
• Support implementation teams in the design, build and deploy AI/ Generative AI solutions for the opportunities identified.
• Develop and deliver best practices around program delivery, project approaches, and business measurement in the AI/ Generative AI opportunities identified.
• Stay up to date with the latest advancements in AI and Generative AI technologies and frameworks. Provide PoVs, as appropriate.
• Working with account leadership and stakeholders to identify promote strategy on scaling up AI/ Gen AI within the account.
• Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives.