Position Summary

• The Principal AI Architect is responsible for leading the design and implementation of advanced AI solutions and strategic architecture.
• Working closely with technology leaders from across our global client community, you will be their senior Trusted Advisor for their AI-enabled transformation journey
• This role demands deep understanding of AI and related technologies, running in Edge, on-prem and Public Cloud environments.
• Acting at the forefront of our industry you will be fully conversant with Generative AI, and its impact at both the individual employee and strategic organizational level.
• The ideal candidate will be an established thought-leader, with solid architectural and engineering credentials. Working ahead of industry trends, deeply passionate about technology-enabled business transformation and demonstrating a strong innovation-led posture. As a thought leader, you will interact frequently with CxO level clients, AI industry leaders, provide expert opinions, and contribute to HCL’s strategic vision.

Technical & Engineering Leadership

• Design comprehensive AI solution and technology architecture, integrating latest AI technology developments into world-class solutions.
• Lead high-level architectural discussions with clients, providing expert guidance on best practices for AI implementations across AI PC, Edge, Data Centre and Public Cloud environments.
• Ensure solutions align with modern best practices across the full spectrum of platforms and environments. Deep understanding across GPU/NPU, Cognitive Infrastructure, Application and Copilot/agent domains.
• Contribute to HCL’s thought leadership in the AI & Cloud domains with a deep understanding of opensource technologies (e.g., Kubernetes, OPEA) and partner technologies.
• Collaborate on joint technical projects with global partners, including Google, Microsoft, AWS, NVIDIA, IBM, Red Hat, Intel, and Dell.

Desired Skills & Experience

• Knowledge of GenAI operations (LLMOps), experience Governing AI models in production environments.
• Proficiency in data engineering for AI, including data preprocessing, feature engineering, and pipeline creation.
• Expertise in AI model fine-tuning and evaluation, with a focus on improving performance for specialized tasks.
• Copilot design, engineering and extensions. • Knowledgeable about Responsible AI, including governance and ethics. Bias mitigation, with experience in implementing strategies to ensure fair and unbiased AI solutions.
• Deep Learning Frameworks (TensorFlow, PyTorch)
• Innovation and Emerging Technology Trends
• Strategic AI Vision and Road mapping • Enthusiastic about working in a fast-paced environment using the latest technologies, and passionate about HCL’s dynamic and high-energy Lab culture.