JOB DESCRIPTION
AI Consulting Engineering Lead
About the Job:
Drive the architecture, design, and engineering solutioning of scalable AI-powered enterprise platforms across EXL’s strategic engagements. This leader will anchor the technology vision across Data, CX, AI, and Automation layers, supporting both sales pursuits and client delivery. This leader will also be responsible for leading Deep Tech capability, partner ecosystem and client pursuits.
JOB RESPONSIBILITIES
Key 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
JOB QUALIFICATIONS
Qualifications:
- 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.
The typical base pay range for this role across the U.S. is USD $201,500 - $257,000 per year.
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
