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Manager, Applied Ai Architect (India)

openai

Bangalore - Remote
AI

Job Score

80 pts
On-site model (+70) AI (+10)

About the Team

The Applied AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries 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 the Manager of Applied AI Architects, 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. Your team will act as the “CTO of the book of business,” partnering 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.

This role is based in Bangalore.

In this role, you will:

  • 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.

You might thrive in this role if you:

  • 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.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Artificial Intelligence

Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.

Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.

AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.

Discover Other Areas

Understand the scope of work, key skills, and tools used in different career areas.

About Design

The Design field, especially UX/UI and Product Design, has experienced significant growth in recent years. With accelerated business digitization, the demand for professionals who can create intuitive and pleasant digital experiences has never been higher.

Key skills include Figma, Sketch, Adobe XD, user research, design thinking, prototyping, and system design. Product designers are increasingly valued for their direct impact on business results.

Remote work has opened doors for Brazilian designers to work for global companies, with competitive salaries in dollars and euros.

About Automation Engineer

The Automation Engineer is the professional responsible for designing, developing, and implementing solutions that automate manual and repetitive processes in IT, infrastructure, testing, and operations. They combine programming knowledge with DevOps and SRE vision to eliminate manual tasks and increase operational efficiency.

Key skills include Infrastructure as Code (Terraform, Ansible, Pulumi), CI/CD (Jenkins, GitHub Actions, GitLab CI), test automation (Selenium, Cypress, Playwright), network automation (Netconf, SDN), RPA (UiPath, Power Automate), and scripting (Python, Bash, PowerShell). Knowledge of Kubernetes, GitOps (ArgoCD, Flux), and automation platforms is a differentiator.

Automation Engineers in technology companies are highly valued, especially those who can create automated deployment pipelines, self-healing infrastructure, and internal developer platforms (IDP). The field offers opportunities from junior automation engineer to automation architect and head of automation.

About Project Management

Project Management is essential to ensure strategic initiatives are delivered on time, within scope, and with quality. PM professionals coordinate teams, manage risks, and communicate with stakeholders.

Key methodologies include PMBOK, PRINCE2, Scrum, and Kanban. Tools like Jira, Asana, Monday, and MS Project are widely used in daily work.

Certifications like PMP and PgMP are important differentiators in the market, with growing demand in technology and consulting companies.

About People Analyst

The People Analyst is the professional responsible for transforming people data into strategic insights for HR decision-making. They combine data analysis knowledge with people management vision to help organizations understand workforce metrics, turnover, engagement, and diversity.

Key skills include people analytics, workforce analytics, turnover and retention analysis, HR metrics (time-to-hire, cost-per-hire, e-NPS), data visualization (Power BI, Tableau, Visier), workforce planning, and compensation analysis. Knowledge of statistics, SQL, and people analytics tools is a differentiator.

People Analysts in technology companies are highly valued, especially those who can translate complex people data into actionable insights for retention, diversity, and growth strategies. The field offers opportunities from HR analyst to head of people analytics, with a focus on data-driven people management.

About SEO Analyst

The SEO Analyst is the professional responsible for optimizing websites for search engines, increasing organic visibility and qualified traffic. With the growing importance of digital marketing, SEO professionals are fundamental to any online presence strategy.

Key skills include on-page and off-page SEO, technical SEO, keyword research, SEO audits, link building, optimized content creation, and metrics analysis. Tools like Google Search Console, Google Analytics, Ahrefs, Semrush, Moz, and Screaming Frog are essential for daily work.

SEO analysts in technology companies are highly valued, especially those who master technical SEO, Core Web Vitals, and data-driven content strategies. The field offers opportunities from junior analyst to head of SEO, with a focus on organic growth, domain authority, and return on investment.

Career Guides

Technology Career Guide

Planning, skills, interviews, and professional growth in IT, Data Science, DevOps, and Product.

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Design Career Guide

UX/UI, Graphic Design, Product Design. Portfolio, tools, interviews, and growth in the Design field.

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Marketing Career Guide

SEO, Paid Media, Growth, Content Marketing. Certifications, tools, and strategies to grow in Digital Marketing.

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Finance Career Guide

Financial market, investments, corporate finance, certifications, and strategies to grow in the financial field.

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Communication Career Guide

Journalism, PR, Corporate Communication, Content Marketing, and Multimedia Production.

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Administration Career Guide

Business Management, HR, Logistics, Consulting, Project Management, and Entrepreneurship.

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Data Career Guide

Data Science, Data Engineering, BI, Machine Learning, and AI. From training to the job market.

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Product Career Guide

Product Management, Product Ownership, Agile, Scrum, and OKRs. From strategy to execution.

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Tech & Remote Glossary

Stop getting lost in interviews and job descriptions

The job market, especially within tech and global companies, has developed its own dialect. Not understanding these acronyms can make you lose valuable opportunities or poorly negotiate your contract. To end this problem, we created the Definitive Glossary for the Remote Professional.

🏢 Work Models & Routine

Async (Asynchronous Work)
A communication model where responses don't need to be immediate. Instead of back-to-back meetings, the team relies on well-structured documents, threads, and messages. It's the gold standard for global companies spanning multiple time zones.
Sync (Synchronous Work)
The opposite of Async. It requires the team to be online and available at the same time for meetings, live chats, and real-time collaboration.
Daily / Stand-up
A quick daily meeting (usually 15 minutes) common in Agile (Scrum) methodologies. The team answers three questions: What did I do yesterday? What will I do today? Are there any blockers?
All-Hands / Town Hall
A company-wide meeting involving all employees. Usually led by the founders (C-Levels) to present results, new goals, and answer team questions.
1:1 (One-on-One)
A recurring individual meeting between a professional and their direct manager. It is used for career alignment, feedback, and problem-solving, not just for project status updates.

💰 Contracts, Benefits & Compensation

PTO (Paid Time Off)
Instead of strict, categorized leave policies, modern US companies usually offer a flexible pool of days (e.g., 20 days of PTO, or even "Unlimited PTO") that you can use for vacations, sick days, or personal matters, while receiving your regular compensation.
Equity / Stock Options
Company ownership. The startup offers you the right to buy shares at a heavily discounted strike price in the future. If the company grows, goes public, or is acquired, these shares can be highly lucrative.
Vesting (Vesting Schedule)
The rule that controls your Equity. It usually lasts 4 years. You don't get all the shares on day one; you "earn" them gradually as you stay with the company. A "1-year Cliff" means you must stay for at least one year to receive your first batch of shares.
RSUs (Restricted Stock Units)
Unlike Stock Options (where you have the right to buy the stock), RSUs are actual shares the company grants you as a bonus or part of your compensation package, following a strict Vesting schedule.
Independent Contractor (1099 / B2B)
The most common international hiring model for global talent working for US companies. You act as a service provider (business-to-business), receiving the gross salary (often six-figure compensation) without standard local payroll tax deductions at the source.

🤖 Recruitment & Hiring Process

ATS (Applicant Tracking System)
The "robot" that reads your resume. Software like Greenhouse, Ashby, and Workday are used to filter candidates by keywords before a human even looks at the document. (Pro tip: this is why your resume must be clean, semantic, and have the right keywords).
JD (Job Description)
The document that lists the responsibilities, technical requirements, and benefits of the open position.
Cultural Fit
The interview stage that evaluates if your core values, communication style, and worldview align with the company's culture. This is the ultimate test of your Soft Skills.
Onboarding
The integration process. It's the period of your first few weeks at the company, where you get your access credentials, learn about the culture, study the internal documentation, and understand how the product works.

🚀 How to use this to your advantage?

The secret isn't just knowing what these acronyms mean, but using them actively. If during an interview for a premium tech role you ask, "How does your PTO policy and Vesting schedule work?", the recruiter will immediately perceive you as a high-level professional, familiar with the global market standards.

The remote job market requires preparation. And having the right vocabulary is the first big step to securing six-figure proposals and standing out among thousands of applicants.

Expert Tip

Generative Design and AI as a Co-pilot

If the last decade in digital design was defined by mobile standardization and UX/UI becoming the core of product development, 2026 marks the dawn of a new era. We are no longer designing just for flat glass screens; we are building intelligent ecosystems, three-dimensional environments, and autonomous algorithms.

For designers looking to stand out and secure the best six-figure remote opportunities in the US tech market, understanding where the industry is heading is no longer a "nice-to-have" differential—it's a matter of professional survival. Below, we break down the four major trends that will dictate hiring and compensation in the 2026 design landscape.

1. Generative Design and AI as a Co-pilot (Not a Replacement)

The fear of Artificial Intelligence replacing designers is officially in the past. In 2026, generative AI is deeply and natively integrated into industry-standard tools like Figma, Adobe, and Framer. The most valued skill by top-tier tech companies is no longer speed in aligning components, but rather algorithmic art direction and prompt design.

  • UI Automation: Wireframing, component variations, and complex design systems can now be generated with a few text prompts.
  • The Designer's New Role: Professionals are shifting from operational executors to curators and strategists, ensuring that AI-generated outputs align with user psychology and core business objectives.

2. Spatial Design and Spatial Computing

With the maturation of mixed reality devices (such as the Apple Vision Pro and Meta's advanced lineups), Spatial Design has evolved from an experimental niche to a mandatory department in Big Tech and forward-thinking startups.

Designing for spatial computing requires a complete paradigm shift: designers must understand Z-axis depth, visual ergonomics, spatial audio, and interactions based on eye-tracking and hand gestures. Roles like AR/VR Product Designer and 3D Interaction Designer are seeing an exponential jump in job listings, often paired with premium compensation packages.

3. Conversation Design and Invisible Interfaces (Zero-UI)

Driven by the omnipresence of Large Language Models (LLMs), the way users interact with systems has fundamentally changed. In 2026, many of the best interfaces don't rely on buttons or hamburger menus; they are conversational. UX Writing and Conversation Design have taken center stage.

  • The Challenge: How do you design the "personality" and flow of a virtual assistant so it feels natural, empathetic, and on-brand, rather than like a rigid robot?
  • The Opportunity: Designers who know how to map complex decision trees, create logical flows for voice and text, and train the empathy of AI models are being heavily scouted by top US startups.

4. Digital Sustainability and Eco-Design

The ESG (Environmental, Social, and Governance) agenda has finally reached the product design tables. The internet consumes a massive amount of energy, and in 2026, tech companies are being strictly held accountable for their digital carbon footprint.

Enter the demand for Digital Eco-Design. This involves creating lighter interfaces, optimizing user flows to reduce screen time (saving battery life and server processing power), and adopting color palettes and assets (like SVGs instead of heavy raster images) that require less energy to render. Being a sustainable designer has become a powerful B2B selling point for agencies and freelancers alike.

Conclusion: The Evolution of Talent

The 2026 design market is highly rewarding for those who embrace complexity. The barrier to entry for making "pretty screens" has dropped significantly, but the demand for professionals who can solve intricate business problems through empathy, strategy, and the mastery of new technologies has never been higher.

If you want to stay ahead of the curve and get direct access to the remote jobs that are actively looking for these specific skills, make sure to follow Mondywork's daily curation. The future of design is hybrid, remote, and full of opportunities.