Assistant Vice President EXL IT service management

0.0 years

0 Lacs

noida, uttar pradesh, india

On-site

Role Overview As an Assistant Vice President (AVP) in the Enterprise AI unit, you will be responsible for leading solution design, evangelization, and execution of AI-driven initiatives. This role demands a blend of strategic vision, stakeholder management, and technical leadership to accelerate adoption of enterprise-grade AI solutions across global clients. Key Responsibilities AI Solution Orchestration : Lead the design and orchestration of end-to-end AI solutions using Agentic AI frameworks, LLMs, and AI avatars integrated into enterprise workflows. Solution Evangelization : Champion EXL's Enterprise AI capabilities internally and externally through thought leadership, solution showcases, client workshops, and industry forums. Stakeholder Management : Partner with CxOs, business leaders, and technology teams to align AI strategy with business outcomes and ensure smooth adoption. Solution Design & Architecture : Architect scalable AI solutions leveraging cloud-native frameworks (AWS, Azure, GCP) , ensuring compliance, security, and performance standards. Business Case Development : Define investment cases, ROI models, and benefit realization frameworks for AI solutions, demonstrating tangible business impact. Innovation & Adoption : Drive experimentation, pilots, and scaled deployments of AI applications across industries such as BFSI, Healthcare, Insurance, and Retail. Technical Implementation Oversight : Provide direction on integrating advanced AI models, avatars, conversational AI, and autonomous agents into enterprise systems. Team Leadership : Mentor cross-functional AI teams, including solution architects, data scientists, and engineers, fostering a culture of innovation and delivery excellence. Key Skills & Competencies Proven expertise in AI solution orchestration with LLMs, Agentic AI, digital avatars, and cloud-native platforms. Strong solution evangelization experience with ability to influence stakeholders and articulate AI value propositions. Deep understanding of enterprise architecture, microservices, and cloud (AWS/Azure/GCP) . Experience in solution design, investment case building, and benefit realization models . Ability to translate complex AI technologies into impactful business solutions. Strong stakeholder management across senior business and technology leaders. Thought leadership in AI/GenAI adoption, AI ethics, and responsible AI practices .

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