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EXL

Principal Architect, AI Data Engineer

EXL

Senior Architect leading design and enterprise-scale implementation of LLM-powered solutions. Focusing on scalable platforms and mentoring teams in GenAI architecture.

Posted 7/4/2026full-timeGurugram • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in architecting and implementing enterprise-grade GenAI solutions, with a strong focus on LLM applications, data engineering, and cloud platforms. Proven ability to lead technical teams and optimize performance across complex data pipelines.

Highest-signal resume keywords
15+ Years Experience in Data Engineering / Data Science / AI3+ Years Hands-On Experience in LLM / GenAI SolutionsStrong Python/Pyspark Engineering ExpertiseExperience with LangChain or Similar FrameworksTechnical Leadership in Prompt Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringData ScienceLLM SolutionsArchitecture DesignAPI IntegrationData AnalysisETL/ELT PipelinesPrompt EngineeringGenAI ArchitecturesPerformance Optimization
Soft Skills
MentoringGuidance
Tools & Technologies
ClaudeOpenAILangChainLangGraphAzureAWSGCP
Industry Keywords
Enterprise DeliveryReference ArchitecturesReusable FrameworksRAG PipelinesData IngestionChunkingEmbeddingsVector SearchOrchestrationResponse Synthesis

Tech Stack

Tools & technologies
AWSAzureCloudETLGoogle Cloud PlatformPySparkPython

About the role

Key responsibilities & impact
  • Lead the design of enterprise-grade GenAI and agentic architectures (single-agent, multi-agent, tool-driven systems).
  • Define reference architectures, reusable frameworks, and best practices for LLM applications across the organization.
  • Architect and oversee implementation of end-to-end RAG pipelines: Data ingestion → chunking → embeddings → vector search → orchestration → response synthesis.
  • Drive scalability, reliability, cost optimization, and performance across GenAI platforms.
  • Provide technical leadership in prompt engineering, prompt orchestration, and agent workflows.
  • Mentor and guide architects, engineers, and data scientists.

Requirements

What you’ll need
  • 15+ years of total experience in Data Engineering / Data Science / AI
  • 3+ years of hands-on experience in LLM / GenAI solutions at scale
  • Proven experience in architecture, solution design, and enterprise delivery
  • Strong hands-on experience with LLMs (Claude, OpenAI, etc.)
  • Experience with LangChain, LangGraph, or similar frameworks
  • Strong Python/Pyspark engineering expertise with proven API integration experience
  • Deep data analysis experience and handling large volume of data
  • Prior experience in Data Engineering (ETL/ELT, pipelines, orchestration)
  • Good exposure to Cloud platforms (Azure/AWS/GCP)

Benefits

Comp & perks
  • Health insurance
  • Flexible work arrangements
  • Professional development opportunities