Architect – AI & Data Engineering (EXL)

Location	Pune
Experience	10–12 Years

Role Overview

We are seeking an experienced Architect – AI & Data Engineering to lead the design, development, and deployment of enterprise-scale AI and data platforms. The ideal candidate will possess deep expertise in Agentic AI, GPT-based solutions, modern data engineering architectures, and cloud-native data platforms. This role will be responsible for architecting intelligent systems that combine large language models, multi-agent orchestration frameworks, and scalable data ecosystems to drive business transformation and operational efficiency.

Key Responsibilities

• Design and implement enterprise-grade Agentic AI solutions leveraging GPT-based models.
• Architect and develop multi-agent AI systems using LangGraph and related orchestration frameworks.
• Define AI architecture standards, governance frameworks, and best practices for Generative AI deployments.
• Lead the integration of LLMs, RAG frameworks, vector databases, and agent-based architectures.
• Design and implement end-to-end data engineering solutions utilizing Microsoft Fabric, Azure Databricks, and Snowflake.
• Architect scalable ETL/ELT pipelines and modern data platforms.
• Drive data platform modernization initiatives including lakehouse architectures and real-time data processing.
• Develop and oversee API-based integrations between AI platforms, enterprise applications, and cloud services.
• Collaborate with business and technology stakeholders to deliver scalable solutions.
• Provide technical leadership, architecture governance, mentoring, and best-practice adoption.
• Establish monitoring, evaluation, and optimization frameworks for AI systems.
• Lead architecture reviews, solution design workshops, and proof-of-concept initiatives.

Required Experience & Skills

• 10–12 years of experience in Data Engineering, Analytics, AI, or Cloud Architecture roles.
• Hands-on experience designing and deploying Agentic AI solutions using GPT-based models and Azure OpenAI.
• Strong expertise in LangGraph and multi-agent orchestration frameworks.
• Experience with RAG architectures, vector databases, embeddings, prompt engineering, and AI workflow automation.
• Extensive experience with Microsoft Fabric, Azure Databricks, and Snowflake.
• Strong understanding of Data Lake, Lakehouse, Data Warehouse, and Real-Time Streaming architectures.
• Advanced programming skills in Python and PySpark.
• Proven experience designing APIs, microservices, and enterprise integration solutions.
• Strong knowledge of Azure cloud services and modern data engineering ecosystems.
• Experience with CI/CD, DevOps practices, Docker, Kubernetes, and MLOps frameworks.
• Strong understanding of data governance, security, privacy, and compliance requirements.
• Experience leading architecture discussions and cross-functional technical teams.

Preferred Qualifications

• Experience with LangChain, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
• Exposure to vector databases such as Pinecone, Weaviate, Chroma, or Azure AI Search.
• Experience implementing enterprise AI governance and responsible AI frameworks.
• Familiarity with machine learning workflows and advanced analytics ecosystems.
• Experience working on large-scale enterprise digital transformation programs.

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related discipline.