Translate business requirements into viable AI solutions using AWS technologies.
Select and implement appropriate AWS services for AI workloads, ensuring optimal deployment models and integration with existing tools.
Work with cross-functional teams (Enterprise Architecture, Application Development, and Business Units) to design pilot projects and develop scalable, production-ready AI solutions.
Stakeholder Engagement & Collaboration:
Partner with various stakeholders to gather feedback and ensure the technical implementation aligns with evolving AI requirements.
Facilitate clear communication with Cloud Engineering, Information Security, and Business Teams to align technical solutions with organizational goals.
Security & Compliance:
Collaborate closely with security and risk management leaders to mitigate potential risks associated with AI solutions.
Ensure ethical AI usage and maintain compliance with industry standards and regulatory requirements.
Integrate security best practices into the design of AI solutions, including CI/CD pipeline configurations for secure and efficient software delivery.
LLM Operations & Infrastructure:
Contribute to the operationalization of Large Language Models (LLMs) on AWS, ensuring optimal performance and scalability.
Assist in the infrastructure setup, deployment, and monitoring of LLM-based applications.
AI Infrastructure & Data Management:
Develop tools and capabilities for data ingestion, feature engineering, data management, and organization to support AI workloads.
Collaborate with teams to implement robust data pipelines and ensure efficient handling of large datasets.
Continuous Improvement & Learning:
Stay up to date with advancements in Generative AI, Deep Learning, and related fields.
Innovate and propose new methods, frameworks, and tools to enhance AI delivery capabilities.