Key Responsibilities Technical & Engineering Leadership • Develop solutions leveraging GenAI technologies, integrating AI capabilities into cloud-native architectures. • Assist in the design and implementation of GenAI-driven applications, ensuring integration with microservices and container-based environments. • Create solutions that leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds. • Collaborate on technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Service Delivery • Support the engineering of GenAI solutions from ideation to MVP, ensuring performance and reliability within cloud-native frameworks. • Assist in optimizing AI models for deployment in cloud environments, balancing efficiency and effectiveness to meet client requirements and industry standards. • Contribute to the assessment of existing solutions and recommend technical treatments to transform applications with cloud-native/12-factor characteristics. 1 Innovation & Initiative • Support the adoption of GenAI technologies within cloud-native projects, enhancing AI integration in cloud services. • Engage in technical innovation and support HCL’s position as an industry leader. • Contribute to authoring whitepapers, blogs, and speaking at industry events. • Maintain hands-on technical credibility, stay ahead of industry trends, and contribute to team learning. Client Relationships • Assist in providing guidance to clients on incorporating GenAI and machine learning into their cloud native systems, ensuring best practices and strategic alignment with business goals. • Participate in workshops and briefings to educate clients on the benefits and applications of GenAI, establishing strong, trust-based relationships. • Contribute to technical projects (PoCs and MVPs) with a focus on technical excellence and on-time delivery.
