Head/Deputy Head - AI - Contractual

Responsibilities:

- Develop and manage the AI/Gen AI roadmap, setting priorities and timelines for projects and plan for the adoption of AI across the organization, educating stakeholders on its potential

benefits.

- Define and execute the organizations AI/Gen AI strategy by aligning it with the overall business objectives and ensuring adoption of AI across the organization, educating stakeholders on its potential benefits.

- Define hybrid Gen AI/ AI technology architecture for the enterprise with chosen Gen AI / AI partner(s) for Hybrid approach fulfilling both On-premise/ Private cloud and CSP cloud services (Azure, AWS etc)

- Establish the governing principles for AI/ Gen AI application and technology landscape taking into account Responsible AI, Ethical AI, AI security risks and mitigation measures, Data security and encryption, PII/SPDI controls etc

- Oversee the design and architecture of AI/ Gen AI systems, ensuring they are scalable, maintainable, and meet performance expectations.

- Lead efforts to develop, optimize, and implement machine learning (ML) algorithms, deep learning models, and other AI techniques.

- Establish and enforce design and coding guidelines and standards, testing protocols, and best practices for AI development to ensure high-quality outputs.

- Ensure the availability of high-quality data for training AI models and work closely with data engineers to create pipelines for data collection, preprocessing, and labeling.

- Collaborate with cross-functional teams to identify business requirements and develop solutions that meet those needs.

- Ensure the quality and accuracy of AI models by testing and validating - Ensure the performance, quality, and responsiveness of applications/ models

- Ensure architecture and design is up-to-date for MLOps and DevSecOps guidelines and practices for AI/ Gen AI technologies based applications

- Work and collaborate with cross technology teams like Platform Engineering Head, Cloud CoE, Infrastructure head etc for defining, choosing and adopting right set of technologies from IT vision and roadmap perspective

- Stay updated with the latest advancements in AI/ML technologies and contribute to the development and improvement of AI frameworks and libraries.

- Lead and mentor a team of AI engineers, data scientists, and researchers.