KEY RESPONSIBILITIES
Agentic Solution Architecture & Design Authority
Lead discovery and solutioning with stakeholders; translate business
objectives into target-state agentic AI architectures, blueprints, and
roadmaps.
Own end-to-end solution design: multi-agent orchestration, tool-using agents,
human-in-the-loop patterns, memory and state management, RAG and knowledge
layers, and enterprise integration.
Drive build vs. buy vs. partner decisions for models, agent frameworks, and
solution with EXL standards.
Architecture Standards, Governance & Responsible AI
Define and enforce reference architectures, design standards, and reusable
patterns for agentic AI solutions across accounts.
Embed security, privacy, compliance, and responsible AI – including agent
guardrails, evaluation frameworks, and auditability – into every design.
Conduct architecture and design reviews, ensuring solutions are scalable,
cost-productive, and production-grade.
Technical Leadership Through Delivery
Guide Forward Deployment Engineers, data scientists,



and delivery teams from
design through production – remaining hands-on at critical points
(prototyping, integration, performance tuning).
De-risk delivery by resolving complex technical blockers: legacy integration,
agent reliability, model performance, and latency/cost/quality trade-offs.
Ensure solutions move beyond POCs to enterprise-wide adoption and value
realization.
Stakeholder Engagement & Advisory
Act as trusted technical advisor to CIOs, CDOs and enterprise architects;
lead architecture workshops, design authority boards, and executive
briefings.
Support pre-sales and strategic deals: solution shaping, effort estimation,
technical proposals, and orals.
Articulate architecture decisions in business terms – value, risk, cost, and
time-to-market.
Capability Building & Reuse
Convert engagement learnings into reusable assets, accelerators, and
reference implementations for EXL’s ag

📌 Assistant Vice President Delhi (India)
🏢 EXL
📍 India