Assistant Vice President

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.