Applied AI Architect

About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. This role can be based in Delhi, Mumbai, or Bangalore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: - Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects. - Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities. - Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes. - Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment. - Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production. - Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans. - Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders. - Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams. - Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged. - Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization. - Apply industry or digital-native expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities. - Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices. You might thrive in this role if you: - Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success. - Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact. - Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers. - Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy. - Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows. - Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. - Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership. - Have experience developing technical account plans, prioritizing comp

7+ years of experience in a Solutions Engineer (or similar) role, managing relationships with large, global, and complex organizations, preferably working with a technical enterprise product. A solid track record of delivering and scaling an exceptional pre-sales customer experience. Experience providing higher level security and compliance support as well as a thorough understanding and knowledge of IT security principles and customer requirements for similar technical B2B SaaS products. Exceptional presentation and communication skills, particularly when engaging with executives and leaders. A humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed. Ability to operate with high horsepower, strong problem-solving skills, adept at frequent context switching, effectively manage multiple projects with expansive ownership, and ruthless prioritization. Personal commitment to fostering the safe and ethical evolution of AI.

Deliver an exceptional pre-sales customer experience. Provide technical expertise in the pre-sales process, outlining the value proposition, clarifying technical requirements, and answering product-related questions. Demonstrate how the ChatGPT business product can provide solutions to customers’ business needs and deliver value, including demos, use case scoping, and proof of concepts. Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g. trust portal), and escalating complex requirements to the appropriate teams. Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process. Develop and nurture strong customer relationships during the evaluation and purchasing process. Foster customer advocacy and represent the voice of the customer with internal teams, gathering and relaying customer feedback and identifying themes across customers to incorporate into product planning. Collaborate closely with the Sales and GRC teams to ensure a seamless pre-sales experience.