KEY RESPONSIBILITIES
1. 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.
2. 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.
3. 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.
4. 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.
5. Capability Building & Reuse
* Convert engagement learnings into reusable assets, accelerators, and
reference implementations for EXL’s ag
📌 Assistant Vice President (Delhi)
🏢 EXL
📍 Delhi