Job Summary
Position Summary This is a highly visible role that requires a perfect combination of deep technical credibility, strategic acumen and demonstrable leadership competency. You will be the ultimate Trusted Advisor, capable of engaging business and technology leaders within the world’s largest enterprises and guiding their strategic AI-enabled journey. The Head of AI Architecture is responsible for leading the Labs’ Architectural services within the region. You will need to provide hands-on technical leadership, whilst managing a small team of senior AI architects and consultants. Operating in a fast-moving, highly innovative environment, collaborating with senior Sales and Technical leaders. You will have business responsibility for the provision of innovation-led Labs services. focusing on the design and implementation of advanced AI solutions enabling genuine transformational outcomes. This hands-on leadership 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 organisational level. The ideal candidate will be an established thought-leader in the AI domain, with solid architectural and engineering credentials that you maintain at the highest level. Working ahead of industry trends, deeply passionate about AI-enabled business transformation and demonstrating a strong innovation-led posture. As a thought leader, you will interact frequently with CxO levEL
Key Responsibilities
Key Responsibilities Technical & Engineering Leadership • Act as ultimate Design Authority for sophisticated AI solutions and related technology architecture. 1 • 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 HCLTech thought leadership in the AI & Cloud domains with a deep understanding of open-source (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. Service Delivery & Innovation • Design innovative AI solutions from ideation to MVP, rapidly enabling genuine business value. • Optimize AI and cloud architectures to meet client requirements, balancing efficiency, accuracy and effectiveness. • Assess and review existing complex solutions and recommend architectural improvements to transform applications with latest AI technologies. • Drive the adoption of cutting-edge GenAI technologies spearheading initiatives that push the boundaries of AI capability across the full spectrum of environments. Thought Leadership and Client Engagement • Provide expert architectural and strategy guidance to clients on incorporating Generative AI into their business and technology landscape. • Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, establishing strong, trust-based relationships. • Act as a trusted advisor, contributing to technical projects with a strong 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 associated technologies. Collaboration and Customer Engagement • Engage with multiple customers simultaneously, building high-impact consultative relationships. • Work closely with internal teams and global partners to ensure seamless collaboration and knowledge sharing across projects. 2 • Maintain hands-on technical credibility, staying ahead of industry trends and mentoring others in the organization. Management and Leadership • Demonstrable track record building and managing small Architectural or Engineering teams. • Support career growth and professional development of the team. • Enrich and enable world-class technical excellence across the team; supported by a culture of collaboration, respect, diversity, inclusion and deep trustful relationships.
Skill Requirements
2. In-depth knowledge of analog and digital simulation, characterization techniques, and design optimization.
3. Solid ability to apply design verification methodologies for timing, power, and area constraints.
4. Solid understanding of process compliance and tracking using design management tools.
5. Solid analytical skills for technical feasibility evaluation and risk identification.