AI Solution Architect I (IN)

Position Summary The Mid-Level AI Architect is responsible for designing and implementing AI and cloud architectures, with a focus on integrating generative AI technologies. This role requires a solid understanding of AI and cloud platforms and the ability to engage with customers on various architectural topics in cloud and data center environments. The ideal candidate is passionate about GenAI and AI technologies, keeps up with industry trends, and drives innovation within the organization and for clients. As a key contributor, you will interact frequently with customers, provide expert opinions, and support HCL’s strategic vision.

Key Responsibilities Technical & Engineering Leadership • Design and implement AI and cloud architectures, integrating GenAI technologies to enhance functionality and scalability. • Participate in architectural discussions with clients, providing guidance on best practices for AI and cloud integration. • Ensure solutions align with microservice and container-based environments across public, private, and hybrid clouds. • Contribute to HCL’s thought leadership in the Cloud Native domain with a solid understanding of open source technologies (e.g., Kubernetes/CNCF) and partner technologies. • Collaborate on technical projects with global partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Service Delivery & Innovation • Develop GenAI solutions from ideation to MVP, ensuring high performance and reliability within cloud native frameworks. • Optimize AI and cloud architectures to meet client requirements, balancing efficiency and effectiveness. • Evaluate existing complex solutions and recommend architectural improvements to transform applications with cloud-native/12-factor characteristics. • Promote the adoption of GenAI technologies within cloud-native projects, driving initiatives that push the boundaries of AI integration in cloud services. 1 Thought Leadership and Client Engagement • Provide architectural guidance to clients on incorporating GenAI and machine learning into their cloud native applications and architectures. • Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, building strong, trust-based relationships. • Act as a trusted advisor, contributing to technical projects (PoCs and MVPs) with a focus on technical excellence and on-time delivery. • Author whitepapers, blogs, and speak at industry events, maintaining a visible presence as a thought leader in AI and cloud architecture. • Create and record videos to share insights and opinions on AI and cloud technologies, enhancing HCL’s industry leadership.