Manager, Applied AI Architect (India)
OpenAI · Posted Oct 1
Artificial intelligence research, generative models, and advanced machine learning deployment
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About the role
The Applied AI Architect team partners with organizations across industries to turn OpenAI's most capable models into real-world impact, bringing together technical strategy, customer partnership, and practical deployment expertise alongside Sales, Product, Engineering, Research, and specialist delivery teams. As the Manager of Applied AI Architects in Bangalore, you will lead a team of senior technical leaders who act as the CTO of the book of business for OpenAI's largest and most complex customers. You will set the operating model for how architects own technical account plans across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions, from pre-sales discovery through production adoption and measurable business impact.
What you will do
- 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.
- Define and continuously refine the strategy and operating model for Applied AI Architecture teams, aligning company priorities with the evolving needs of strategic customers and the regional go-to-market.
- 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.
- 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.
- 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.
- Coach the team on Applied AI architectures spanning models, applications, data, integration, identity, security, privacy, governance, evaluation, reliability, and deployment.
- 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.
- Mobilize Deployment Engineering, implementation, enablement, Product, Engineering, Research, Security, Legal, Privacy, partners, and other specialists to remove blockers and deliver a cohesive customer experience.
- 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.
- 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.
- Foster a culture that balances ambitious customer outcomes with responsible AI deployment, clear ownership, thoughtful prioritization, and effective specialist handoffs.
Skills used in this role
What the employer is looking for
- 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.
- 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.
- Have 4+ years of people-management experience hiring, coaching, and developing high-performing customer-facing technical teams.
- Have guided enterprise organizations from technical discovery and evaluation through production adoption, healthy usage, and measurable business impact.
- Demonstrate outstanding executive communication and presentation skills, with the ability to build credibility with CTOs, CIOs, CISOs, boards, business leaders, and hands-on engineers.
- Can lead a complex portfolio, make thoughtful resource-allocation decisions, and balance regional strategy with hands-on support for critical customer engagements.
- 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.
- Build strong partnerships across Sales, Product, Engineering, Research, Deployment, Customer Engagement, Security, Legal, Privacy, and external partner ecosystems.
- Embody a customer-centric philosophy focused on durable value, responsible production adoption, technical excellence, and long-term partnership.
- Approach your work with humility, curiosity, a collaborative spirit, and a deep commitment to the safe and beneficial advancement of AI.
Benefits and support
- Compensation and benefits are detailed in the job posting
About OpenAI
OpenAI is an AI research and deployment organization dedicated to developing safe and beneficial general-purpose artificial intelligence. The company creates breakthrough generative AI models like ChatGPT and the GPT series, aiming to ensure artificial intelligence broadly benefits all of humanity.
- Industry
- Artificial Intelligence
- Company size
- 5001-10000 employees
- Founded
- December 8, 2015
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $190B raised
- 2026-03-31Series F$122B
- 2025-03-31Series F$40B
- 2024-10-02Series E$6.6B
- 2023-01-23Corporate Round$10B
- 2019-07-22Corporate Round$1B
Leadership
Chief Executive Officer and Co-Founder
President and Co-Founder
Chief Financial Officer
Chief Scientist
Chief Strategy Officer
Recent coverage
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