Associate Director - Artificial Intelligence/GenAI/Agentic AI
Impetus Career Consultants · Bengaluru · onsite · Posted 63d ago
About a minute. You'll make an account on the way through.
About this role
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
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