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HCLTech seeks a seasoned Solution Principal to lead the OpenAI Applied AI Architecture across the Americas, guiding senior technical leaders from strategy to production value for enterprise customers.
You will define operating models, prioritize key accounts with Sales, and sponsor critical engagements while coaching teams across deployment, security, governance, and product partnerships.
HCLTech is looking for a highly talented and self-motivated Solution Principal to join it in advancing the technological world through innovation and creativity.
Job ID: 153824
As the OpenAI Applied AI Architect leader, you will lead a team of senior technical leaders responsible for the technical strategy, customer journey, and path to production value for OpenAI's largest and most complex customers across the Americas region. Your team will partner with customer executives and technical teams from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact.
You will set the operating model for how Applied AI Architects own technical account plans across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In close partnership with Sales leadership and Account Directors, you will help prioritize customer portfolios, allocate technical resources, and ensure business priorities translate into focused use cases, credible architectures, actionable adoption roadmaps, and durable customer value and growth.
You will remain accountable for the team's technical outcomes while developing its people and bringing in the right specialists across deployment, implementation, enablement, security, product, research, and partners. You will serve as an executive technical sponsor for critical engagements, a senior voice of the customer inside OpenAI, and a cross‑functional leader who can move confidently between regional strategy, executive decision‑making, architectural depth, and hands‑on coaching.
1) Hire, coach, and develop a high‑performing team of Applied AI Architects, creating an environment of technical excellence, sound judgment, continuous learning, accountability, and strong customer stewardship.
2) Define and continuously refine the strategy and operating model for Applied AI Architecture aligning company priorities with the evolving needs of strategic customers and the regional go‑to‑market.
3) Partner with Sales leadership and Account Directors to prioritize accounts and opportunities, allocate technical resources effectively, and establish clear technical strategies for the region's most consequential engagements.
4) Ensure Applied AI Architects serve as the primary technical advisors for their portfolios, owning technical account plans, technical milestones, adoption priorities, account health, and expansion opportunities.
5) Lead complex, multi‑threaded customer journeys that connect executive vision and business outcomes with use‑case qualification, solution evaluation, enterprise governance, and a credible path to production.
6) Coach the team on Applied AI architectures spanning models, applications, data, integration, identity, security, privacy, governance, evaluation, reliability, and deployment.
7) Build trusted relationships with C‑suite and board‑level stakeholders, as well as senior AI, technology, data, security, and engineering leaders, serving as an executive technical sponsor when needed.
8) Mobilize Deployment Engineering, implementation, enablement, Product, Engineering, Research, Security, partners, and other specialists to remove blockers and deliver a cohesive customer experience.
9) Establish a rigorous view of portfolio health, including technical wins, qualified use cases, production readiness, adoption, usage, risks, measurable customer impact, and the technical contribution to growth.
10) Translate patterns from the field into actionable feedback for Product, Engineering, Research, and go‑to‑market teams, while developing reusable architecture guidance and customer practices.
11) Foster a culture that balances ambitious customer outcomes with responsible AI deployment, clear ownership, thoughtful prioritization, and effective specialist handoffs.
1) Possess deep technical acumen in modern AI systems, frontier models, agentic applications, platform technologies, software and cloud architecture, APIs, data integration, identity, security, privacy, evaluation, and enterprise deployment.
2) Bring 10+ years of experience in customer‑facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical consulting, including work with large and complex enterprises.
3) Have 4+ years of people‑management experience hiring, coaching, and developing high‑performing customer‑facing technical teams.
4) Have guided enterprise organizations from technical discovery and evaluation through production adoption, healthy usage, and measurable business impact.
5) Demonstrate outstanding executive communication and presentation skills, with the ability to build credibility with CTOs, CIOs, CISOs, boards, business leaders, and hands‑on engineers.
6) Can lead a complex portfolio, make thoughtful resource‑allocation decisions, and balance regional strategy with hands‑on support for critical customer engagements.
7) Exercise strong architectural judgment, including knowing when to go deep personally, when to coach the team, when to involve specialists, and how to define clear handoffs and ownership.
8) Build strong partnerships across Sales, Product, Engineering, Research, Deployment, Customer Engagement, and external partner ecosystems.
9) Are comfortable leading solutions across different industries, cultures, regulatory contexts, and customer operating models.
10) Possess deep technical acumen in modern AI systems, frontier models, agentic applications, platform technologies, software and cloud architecture, APIs, data integration, identity, security, privacy, evaluation, and enterprise deployment.
Base Pay Range Minimum: $160,000 per year
Base Pay Range Maximum: $230,000 per year
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.
A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance‑based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need‑based leave with no designated number of leave days per year); and 10 paid holidays per year
At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior‑level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.