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Architect, AI Data Engineer at EXL | JobVerse
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Architect, AI Data Engineer
EXL
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Architect, AI Data Engineer
Pune, Maharashtra, India
Full Time
5 hours ago
No Sponsorship
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Key skills
AWS
Azure
Cloud
Docker
ETL
Flask
Google Cloud Platform
Kubernetes
Microservices
PySpark
Python
AI
ML
NLP
GenAI
LLM
OpenAI
Claude
RAG
LangChain
Agentic
MLOps
LangGraph
ELT
Data Engineering
Analytics
Snowflake
Databricks
FastAPI
GCP
Google Cloud
CI/CD
Leadership
Remote Work
Sales
About this role
Role Overview
Define and lead end-to-end architecture for enterprise GenAI platforms and use cases
Design scalable agentic systems (single-agent, multi-agent, orchestration frameworks)
Establish reference architectures, design patterns, and reusable frameworks
Lead architecture decisions on RAG vs fine-tuning vs hybrid approaches
Conduct technology evaluations (LLMs, vector DBs, orchestration frameworks) and recommend best-fit solutions
Design and implement complex agentic workflows with tool calling, function orchestration, and memory strategies
Build enterprise-grade RAG pipelines with strong focus on retrieval accuracy and evaluation
Drive prompt architecture standards (prompt libraries, chaining, orchestration governance)
Optimise solutions for latency, cost, scalability, and reliability
Lead development of GenAI platforms, APIs, and microservices (FastAPI, Flask, etc.)
Define engineering best practices: coding standards, testing, packaging, observability
Ensure seamless integration with enterprise data platforms, APIs, and business applications
Collaborate with MLOps teams for CI/CD, deployment pipelines, versioning, and monitoring
Define and enforce LLM guardrails (hallucination control, safety filters, policy enforcement)
Implement evaluation frameworks (RAG evaluation, prompt testing, benchmarking)
Ensure compliance with data security, privacy, and enterprise governance standards
Drive adoption of Responsible AI practices (bias mitigation, explainability, auditability)
Partner with Data Engineering teams on Data ingestion, pipelines, and quality controls
Work with business stakeholders to identify high-value GenAI use cases and translate business problems into AI-driven solutions
Provide technical leadership and mentorship to engineering teams
Act as a solution advisor to clients/stakeholders (including pre-sales, PoCs, solutioning)
Present architecture and design decisions to senior leadership and CXOs
Drive COE initiatives, knowledge sharing, and internal capability building
Requirements
12–15 years total experience
3+ years in GenAI / LLM-based systems
Proven experience in leading architecture and delivery of enterprise solutions
Strong hands-on experience with LLMs (Claude, OpenAI, etc.)
RAG pipelines and retrieval optimisation
Experience with LangChain, LangGraph, or similar frameworks
Agent orchestration and tool-calling architectures
Strong Python/Pyspark engineering expertise with proven API integration experience
Deep data analysis experience and handling large volume of data
Fabric/Azure Databricks/Snowflake data engineering integration skills
Cloud platforms (Azure/AWS/GCP)
Familiarity with Containers (Docker/Kubernetes), CI/CD pipelines, Monitoring & observability
Data Engineering (ETL/ELT, pipelines, orchestration)
Data Science / ML lifecycle (especially NLP)
Analytics engineering / data products
Fine-tuning techniques (LoRA, PEFT, prompt tuning)
Tech Stack
AWS
Azure
Cloud
Docker
ETL
Flask
Google Cloud Platform
Kubernetes
Microservices
PySpark
Python
Benefits
Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options
Apply Now
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