Collaborate closely with customer stakeholders to understand their requirements, goals, and expectations for generative AI solutions.
Design, develop, and implement generative AI architectures, models, and solutions that meet customer needs and align with industry best practices.
Work cross-functionally with other teams, including data engineers, software developers, and project managers, to ensure the successful delivery of end-to-end AI projects.
Lead the decision-making process for technical and architectural choices, ensuring that solutions are scalable, maintainable, and cost-effective.
Communicate effectively with both technical and non-technical stakeholders, translating complex AI concepts into clear, understandable language.
Provide expert guidance and advice as a consultant to help customers maximize the value of their generative AI investments.
Monitor and evaluate the performance of generative AI models, identify areas for improvement, and implement strategies to optimize solutions.
Stay current with the latest advancements in generative AI, machine learning, and related technologies, and incorporate new ideas and techniques into the team's work.
Mentor and guide junior team members in adopting generative AI technologies and best practices.
Knowledge of Agile/Scrum methodologies and project management practices.