Description
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 agen
📌 Assistant Vice President (Delhi)
🏢 EXL
📍 Delhi