Responsibilities:

1. Collaborate with Business Stakeholders:
• Work closely with business leaders to understand organizational goals, challenges, and opportunities where AI solutions can provide value.
• Translate business requirements into technical specifications and design scalable AI architectures that align with strategic objectives.
2. Design Scalable AI Systems:
• Architect end-to-end AI systems that are scalable, efficient, and maintainable.
• Evaluate and select appropriate AI technologies and frameworks to meet project requirements.
• Provide technical leadership in the development and deployment of AI solutions.
3. Generative AI Systems:
• Demonstrate hands-on experience in productionizing generative AI based systems.
• Implement and optimize algorithms for LLM models, ensuring they meet both performance and reliability criteria.
• Stay abreast of the latest advancements in generative AI and integrate cutting-edge techniques into our systems.
4. Software Engineering:
• Apply solid software engineering principles to develop robust and maintainable code.
• Collaborate with software development teams to integrate AI components seamlessly into existing systems.
• Conduct code reviews and ensure adherence to best practices and coding standards.
5. Communication:
• Act as a bridge between technical and non-technical stakeholders, effectively communicating complex AI concepts in a clear and understandable manner.
• Present AI solutions to diverse audiences, including executives, project teams, and external partners.
• Foster a collaborative and knowledge-sharing culture within the organization.
6. Continuous Learning:
• Stay informed about the latest trends, tools, and technologies in AI and machine learning.
• Lead initiatives to incorporate emerging technologies into the AI architecture to enhance system capabilities.