Lead Solutions Architect - AI & Cloud

About HCL Technologies:

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 221,000+ Ideapreneurs working in 60 countries across a network of global R&D, innovation labs, and delivery centers supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud.

The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be.

We are looking for like-minded people to join us in the next phase of our transformation journey and welcome you to grow with us.

Location: USA - Seattle.

Role Overview

We are looking for a dynamic, self-driven Lead Solutions Architect - AI & Cloud to help enterprise customers turn their AI ambitions into practical, high-value solutions. This customer-facing role combines pre-sales and engineering credibility: inspire a shared vision, shape opportunities, and demonstrate what Cloud, Data, and AI can deliver.

From customer pre-sales workshops on AI transformation to executive presentations and solution demonstrations, you will help customers assess readiness, prioritize use cases, and shape initiatives and proposals. Your ability to connect business goals with feasible architecture and a compelling business case will turn early ideas into a practical roadmap for adoption.

Working alongside Sales, Pre-Sales, Forward Deployed Engineer pods, and Centers of Excellence (COEs), you will translate that vision into product requirements and guide the engineering toward a working prototype or MVP. A strong engineering or architecture foundation and practical enterprise AI experience will help you make sound technical decisions and keep each engagement focused on measurable customer value.

Key Responsibilities

• Lead customer pre-sales discovery and envisioning workshops for AI transformation initiatives; translate business context, user needs, and constraints into prioritized use cases and measurable success criteria.
• Own technical presentations, demonstrations, and value conversations with business and engineering stakeholders; explain tradeoffs, address objections, and influence solution decisions.
• Partner with Sales and Pre-Sales to shape opportunities and produce proposals, solution narratives, points of view, and business cases with clear value, cost, ROI , and adoption assumptions.
• Design or guide enterprise Cloud, Data, and AI solutions, emphasizing Azure and the Microsoft ecosystem ; evaluate feasibility, integration, scalability, reliability, cost, and delivery risks.
• Apply generative AI, copilots, and agents to concrete problems; engage specialists on grounding, retrieval, tool integration, orchestration, evaluation, security, and responsible AI as appropriate.
• Author vision & feature point-of-view docs, and solution documents, from executive briefs to developer-ready plans covering scope, user flows, workflows, user stories and projected business benefits.
• Own the product management responsibilities for innovation sprints with COEs, SMEs, and delivery teams, maintaining scope, priorities, accountability, and customer alignment.
• Stay technically engaged through design reviews, issue resolution, and prototype validation; demonstrate outcomes, capture feedback, and hand off technical decisions, limitations, and delivery recommendations.

Requirements & Skills

• 12+ years of experience in solution architecture, technical pre-sales, technical consulting, product management, or digital transformation, preferably in enterprise or high-tech environments.
• Demonstrated customer-facing leadership through technical pre-sales, solution consulting, sales engineering, or advisory work, with examples connecting technology to customer value.
• Practical experience designing, demonstrating, delivering, or advising on enterprise AI or agent solutions, supported by specific use cases, clear personal contribution, and demonstrated solution ownership.
• A strong development, architecture, systems engineering, or implementation foundation , enabling credible engineering discussions and feasibility judgments. Earlier hands-on experience counts when technical fluency is maintained; implementation responsibilities are shared with engineering specialists.
• Understanding of APIs, integrations, data, identity, security, and cloud-native patterns such as containers, serverless, or event-driven systems.
• Ability to write actionable scope/feature documents and support cross-functional prototype execution within a defined scope and timeline, communicating clearly with technical and business audiences.
• Practical experience with Azure architectures, migrations, integrations, or deployments; relevant Microsoft platforms include Microsoft Foundry, Copilot Studio, Power Platform, Dynamics 365, Fabric, GitHub, and security services.
• Agentic AI depth in retrieval, grounding, tool use, orchestration, evaluation, governance, or production operation; enterprise data-platform experience supporting secure, governed AI.
• Evidence of measurable customer, commercial, adoption, or operational outcomes.
• Bachelor's degree in Computer Science, Engineering, or a related field; a master's degree is preferred.
• Relevant certifications are preferred and considered alongside practical solution experience.

At HCL, we don’t just accept the differences—we support it and celebrate it. We are committed to cultivating and preserving a culture of inclusion and connectedness. We can grow and learn better together with a diverse team of employees. As an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone’s place.