AI Consulting Engineering Lead

EXL is a global leader in data and AI, with over 25 years of experience in helping enterprises transform. The AI Consulting Engineering Lead will drive the architecture and engineering of scalable AI-powered enterprise platforms, collaborating with various partners and leading technical solutioning to meet client needs.

Responsibilities:

• Lead Deep tech partner ecosystem and practice
• Collaborate with EXL Labs and partner ecosystems (Google, Microsoft, Salesforce, UiPath, ServiceNow, AWS, Appian etc.) to integrate emerging capabilities into client solutions
• Set up Deep tech labs with Nvidia, Open AI, Anthropic, Groq etc
• Identify and incubate emerging technology use cases (e.g., Agentic, Quantum) relevant to client industries
• Client Pursuit & Technical Solutioning
• Lead the technical pre-sales process, engaging directly with clients to understand business goals, pain points, and transformation needs
• Develop end-to-end solution architectures across data platforms, cloud ecosystems (AWS, Azure, GCP), AI/ML, IoT, and other deep tech domains
• Author and present compelling technical proposals, RFP/RFI responses, and solution blueprints that resonate with client stakeholders
• Engage in RFP/RFI cycles and deal reviews to ensure technical integrity and differentiation
• Transformation Consulting & Advisory
• Act as a strategic advisor to clients on digital transformation, data modernization, cloud migration, and emerging AI adoption
• Assess current state architecture and co-create AI led transformation roadmaps aligned with future-state vision and business priorities
• Lead client and internal architecture workshops
• Shape AI-first enterprise designs integrating data platforms, automation, and intelligent workflows
• Partner with cross-functional teams across domain, tech, data, and AI to define solutions for large transformation deals
• Translate business objectives into executable technology roadmaps with clear ROI and scalability
• Define architectural guardrails, reusable components, and accelerators for repeatable deployment patterns
• Mentor solution and engineering teams to adopt modern design principles

Requirements:

• 15+ years in enterprise architecture, engineering, or solution leadership within consulting, SI, or digital practices
• Proven experience in architecting data-driven, AI-enabled enterprise platforms
• Understanding of cloud-native architectures, integration frameworks, data fabric/mesh, and AI orchestration
• Stakeholder management and executive communication skills