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