In this role you will be responsible for:
• Leads the technical direction for assigned AI initiatives.
• Collaborate with product, data, and engineering teams to align AI priorities with business
• Contribute to cross-pod governance and represent the AI Accelerator in enterprise
• Demonstrated success in deploying AI or ML solutions in production environments.
• Support the development and implementation of scalable, efficient, and secure AI or data
• Participate in the development of automation workflows and APIs that integrate with
Utilize cloud infrastructure (Azure/AWS/GCP) and MLOps frameworks for continuous
• Ensure code quality, testing, and maintainability through best development practices.
• Participate in the development of automation workflows and APIs that integrate with
• Utilize cloud infrastructure (Azure/AWS/GCP) and MLOps frameworks for continuous
• Ensure code quality, testing, and maintainability through best development practices.
• Supports development of KPIs and success metrics for key deliverables.
• Oversee and manage documentation, sprint planning, and backlog prioritization in agile
• Ensure system monitoring, observability, and proactive issue resolution.
• Continuously optimize performance and cost efficiency of AI systems.
Collaboration & Innovation
• Partner with Business Translators, UI/UX, and Change Management teams to translate
needs into deployable AI solutions.
• Participate in the evaluation of new technologies and frameworks that enhance
automation or predictive insights.
• Drive innovation through participation in hackathons, proof-of-concepts, and partnerships
• Promote a culture of responsible AI, ethics, and compliance.