Responsibilities
AI Architecture & Solution Design
* Architect enterprise-grade GenAI solutions using LLMs, embeddings, and vector
databases.
* Design scalable RAG pipelines and knowledge-grounded AI systems.
* Define agentic workflows with reasoning, tool usage, and memory capabilities.
* Establish secure, compliant AI deployment architectures across cloud
platforms.
Agentic AI & Automation
* Design multi-agent systems for workflow automation and decision intelligence.
* Implement orchestration logic, tool integration layers, and human-in-the-loop
controls.
* Define evaluation, guardrails, and monitoring frameworks for agent
performance.
AI Platform Management & Operational Excellence
* Establish standards and best practices for LLMOps / MLOps, covering the full
model lifecycle from development to production.
* Assess and select foundation models (OpenAI, open-source LLMs) for
suitability, performance, and compliance in enterprise contexts.
* Ensure AI solution efficiency and robustness by optimizing cost, latency,
scalability, and system reliability.
Client Advisory & Pre-Sales Support
* Act as AI solution architect in client discussions and transformation
initiatives.
* Lead PoCs, technical demonstrations, and innovation workshops.
* Translate business objectives into scalable AI system designs.
Innovation & Enablement
* Stay current with evolving GenAI and agent frameworks.
* Develop architectural playbooks, reference patterns, and reusable
accelerators.
* Mentor engineering teams on best practices in AI system design.
Experience and Competency Requirements
* 8-12 years of experience in AI/ML engineering and architecture.
* Minimum 2-3 years hands-on experience with Generative AI systems.
* Strong expertise in LLMs, RAG architectures, embeddings, and vector stores.
* Experience designing and deploying production-grade AI applications.
* Hands-on experience with cloud-native AI deployments (AWS / Azure / GCP).
* Solid problem-solving and client-faci
📌 Assistant Vice President (New Delhi)
🏢 EXL
📍 New Delhi