Applied AI Architect

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager, Applied AI Architect based in India.

• Hire, coach, mentor, and develop a high-performing team of Applied AI Architects, fostering technical excellence, accountability, continuous learning, and strong customer stewardship.
• Define and continuously improve the team's operating model and technical strategy in alignment with organizational priorities and strategic customer needs.
• Partner with Sales leadership and Account Directors to prioritize strategic accounts, allocate technical resources, and establish focused technical strategies for major engagements.
• Ensure architects own technical account plans, milestones, adoption priorities, account health, production readiness, and expansion opportunities across their portfolios.
• Lead complex customer journeys from executive vision and business objectives through use-case qualification, solution evaluation, governance, deployment, and measurable production impact.
• Coach the team on enterprise AI architectures covering models, applications, data, integrations, identity, security, privacy, governance, evaluation, reliability, and deployment.
• Build trusted relationships with C-suite, board-level, technology, data, security, engineering, and AI leaders, acting as an executive technical sponsor for critical engagements.
• Mobilize internal and external specialists across deployment, implementation, enablement, Product, Engineering, Research, Security, Legal, Privacy, and partner ecosystems to resolve blockers and coordinate delivery.
• Establish a comprehensive view of portfolio health, tracking qualified use cases, technical milestones, production readiness, adoption, usage, risks, customer impact, and technical contributions to growth.
• Translate customer and field insights into actionable feedback for product, engineering, research, and go-to-market teams.
• Develop reusable architecture guidance, customer practices, and technical approaches that can improve consistency and effectiveness across engagements.
• Promote responsible AI deployment while maintaining clear ownership, thoughtful prioritization, effective specialist handoffs, and ambitious customer outcomes.

• 10+ years of experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical consulting, including experience with large and complex enterprises.
• 4+ years of people-management experience, including hiring, coaching, and developing high-performing customer-facing technical teams.
• Deep technical knowledge of modern AI systems, foundation models, agentic applications, software and cloud architecture, APIs, data integration, identity, security, privacy, evaluation, and enterprise deployment.
• Demonstrated experience guiding enterprise customers from technical discovery and evaluation through production adoption, sustained usage, and measurable business outcomes.
• Strong architectural judgment, with the ability to determine when to provide hands-on technical leadership, coach team members, engage specialists, or establish clear ownership and handoffs.
• Excellent executive communication and presentation skills, with the ability to engage effectively with senior technology, security, business, and engineering stakeholders.
• Experience managing complex portfolios and making effective technical resource-allocation decisions while balancing regional strategy with critical customer needs.
• Strong cross-functional collaboration skills and experience partnering with Sales, Product, Engineering, Research, Deployment, Customer Engagement, Security, Legal, Privacy, and external partners.
• Strong customer-oriented approach focused on sustainable value, responsible production adoption, technical quality, and long-term relationships.
• Ability to operate effectively in ambiguous, fast-moving environments while maintaining clear priorities and accountability.
• Humility, curiosity, collaboration, and a commitment to responsible and beneficial applications of AI.

• Remote work environment with the role based in Bangalore, India.
• Opportunity to lead a team working on advanced AI applications and enterprise deployments.
• High-impact leadership scope spanning technical strategy, customer engagement, architecture, and people development.
• Exposure to complex enterprise AI use cases and emerging AI technologies.
• Collaboration with multidisciplinary teams across engineering, research, product, deployment, security, legal, privacy, and go-to-market functions.
• Opportunities to influence technical practices, reusable architecture guidance, and customer adoption strategies.
• People-management and leadership development through hiring, coaching, mentoring.