Associate Director - Artificial Intelligence/GenAI/Agentic AI

Job location: [{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore","addressCountry":"IN"}},{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Karnataka","addressCountry":"IN"}}] Work arrangement: Employment type: FULL_TIME Salary: "" Experience requirements: {"monthsOfExperience":144,"educational":{"credentialCategory":"bachelor degree"}} Education requirements: "" Key Responsibilities: - Lead enterprise-wide AI / Generative AI transformation strategy and define the roadmap for AI adoption across business functions. - Define enterprise LLM and Agentic AI architectures, including AI-native and multi-agent solutions for complex business use cases. - Drive RAG and Enterprise Knowledge Architecture to build scalable AI-powered knowledge and decision-support solutions. - Define GCP AI / Data Architecture and guide the development of enterprise AI platforms and ecosystems. - Establish AI Governance, Security, Privacy, and Responsible AI frameworks for enterprise AI adoption. - Define and evolve the AI Operating Model / AI CoE, including capabilities, processes, governance, and technology standards. - Work closely with CXOs, business leaders, clients, and senior stakeholders to identify AI transformation opportunities and business value. - Lead large-scale AI transformation programs across strategy, architecture, delivery, and adoption. - Provide technical and strategic leadership to large AI/technology teams and senior architects. - Drive client relationships, solution discussions, executive presentations, and strategic technology engagements. - Identify opportunities for AI-led business growth, solution expansion, and new transformation initiatives. - Guide teams in evaluating emerging AI technologies, architectures, and platforms against enterprise requirements. - Drive adoption of Enterprise Copilots and autonomous business process transformation across suitable use cases. - Ensure AI initiatives align with business objectives while maintaining focus on scalability, security, governance, risk, and commercial value. Required Skills & Qualifications: - 12+ years of experience in technology, AI/ML, software engineering, cloud, data, or related domains, with significant experience in leadership and architecture roles. - Strong experience in Enterprise AI / GenAI Transformation and AI strategy. - Deep expertise in LLM Architecture, Agentic AI Architecture, and AI-native / Multi-Agent Architecture. - Strong understanding of RAG and Enterprise Knowledge Architecture. - Strong experience with GCP AI / Data Architecture and enterprise cloud environments. - Strong understanding of AI Governance, Security, Privacy, and Responsible AI. - Experience defining AI Transformation Strategy and enterprise AI roadmaps. - Experience establishing or scaling an AI Operating Model / AI CoE. - Strong client and senior stakeholder management experience. - Proven technical leadership, delivery leadership, and large-team management experience. - Strong understanding of business transformation and ability to connect AI strategy with measurable business outcomes. - Experience contributing to business growth, solution development, and strategic client engagements. Strategic Skills: - Agentic Enterprise Architecture - Multi-Agent Operating Models - AI Governance Frameworks - AI Security & Privacy - Model Risk Management - AI FinOps - Enterprise Copilots - Autonomous Business Process Transformation