# Agentic AI Data Engineer Source: https://realanalystjobs.com/job/agentic-ai-data-engineer-exl-0327951c Agentic AI Data Engineer at EXL, an on-site role based in Gurugram, India. Experience level: 5-10 Years. Posted on 30 July 2026, read from EXL's own careers page (Oracle HCM), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [EXL](https://realanalystjobs.com/companies/exl) - Location: Gurugram, India - Work mode: On-site - Posted: Jul 30, 2026 - Employment type: Full time - Experience level: 5-10 Years - Source: EXL's careers page (Oracle HCM), re-checked daily Skills: [SQL](https://realanalystjobs.com/skills/sql), [Python](https://realanalystjobs.com/skills/python), Redshift, AWS, Spark ## Visa sponsorship The posting does not say. EXL had H-1B petitions approved for 349 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/exl#h1b-record) ## About this role Agentic AI Data Engineer Role Overview Total Experience required : 5-10 Years We are seeking a highly skilled Agentic AI Data Engineer to design, build, and optimize intelligent, autonomous data systems that power next-generation AI applications. This role blends data engineering, machine learning infrastructure, and emerging agent-based AI frameworks to enable scalable, self-orchestrating pipelines and decision-making systems. You will work at the intersection of data platforms, large language models (LLMs), and cloud-native architectures - building systems that can reason, act, and adapt autonomously. Key Responsibilities • Design and implement agentic AI systems that autonomously orchestrate data workflows and decision pipelines • Build scalable data pipelines for structured and unstructured data (batch + real-time) • Develop and manage LLM-powered applications using retrieval-augmented generation (RAG), tool use, and multi-agent frameworks • Integrate AWS AI/ML services into production-grade architectures • Develop and optimize data lakes, warehouses, and lakehouse architectures • Build APIs and microservices to expose AI/ML capabilities • Ensure data quality, governance, and security across pipelines • Collaborate with data scientists, ML engineers, and product teams to deploy AI solutions • Implement monitoring, logging, and observability for AI agents and pipelines • Optimize cost and performance of cloud-based AI workloads Required Technical Skills Cloud & AWS Ecosystem • Strong experience with AWS services, including: • Amazon S3, Glue, Lambda, Step Functions • Amazon Redshift / Athena • Amazon SageMaker (training, deployment, pipelines) • Amazon Bedrock (foundation models, agents, knowledge bases) AI/ML & Agentic Systems • Experience with LLMs and generative AI systems • Hands-on with agent frameworks (e.g., multi-agent orchestration, tool calling, planning systems) • Familiarity with AgentCore / agent orchestration platforms • Understanding of RAG architectures , embeddings, and vector databases • Experience with model deployment, inference optimization, and prompt engineering Data Engineering • Strong proficiency in Python and SQL • Experience with ETL/ELT tools and frameworks • Distributed data processing (Spark, PySpark, or similar) • Streaming technologies (Kafka, Kinesis, or similar) • Data modeling and schema design Data & AI Infrastructure • Experience with vector databases (e.g., Pinecone, FAISS, OpenSearch) • Knowledge of data lakehouse architectures (Delta Lake, Iceberg, Hudi) • Containerization (Docker) and orchestration (Kubernetes) • CI/CD for ML and data pipelines Preferred Qualifications • Experience building autonomous AI agents for enterprise use cases • Knowledge of multi-agent collaboration systems and planning algorithms • Familiarity with LangChain, LlamaIndex, or similar frameworks • Experience with MLOps and LLMOps practices • Understanding of graph-based workflows and knowledge graphs • Exposure to real-time AI systems and event-driven architectures Soft Skills • Strong problem-solving and system design skills • Ability to work in fast-paced, evolving AI environments • Effective communication and cross-functional collaboration • Curiosity and adaptability to emerging AI technologies Education & Experience • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field • 4+ years of experience in data engineering or ML engineering • Hands-on experience with production-grade AI/ML systems Nice-to-Have • Experience with reinforcement learning or planning systems • Background in distributed systems design • Contributions to open-source AI/data projects • Certifications in AWS (e.g., Solutions Architect, Machine Learning Specialty) What You’ll Build • Autonomous data pipelines that self-heal and optimize • AI agents capable of reasoning over enterprise data • Scalable LLM-powered applications integrated with business workflows • Intelligent systems that move beyond automation into decision-making Key Responsibilities • Design and implement agentic AI systems that autonomously orchestrate data workflows and decision pipelines • Build scalable data pipelines for structured and unstructured data (batch + real-time) • Develop and manage LLM-powered applications using retrieval-augmented generation (RAG), tool use, and multi-agent frameworks • Integrate AWS AI/ML services into production-grade architectures • Develop and optimize data lakes, warehouses, and lakehouse architectures • Build APIs and microservices to expose AI/ML capabilities • Ensure data quality, governance, and security across pipelines • Collaborate with data scientists, ML engineers, and product teams to deploy AI solutions • Implement monitoring, logging, and observability for AI agents and pipelines • Optimize cost and performance of cloud-based AI workloads Required Technical Skills Cloud & AWS Ecosystem • Strong experience with AWS services, including: • Amazon S3, Glue, Lambda, Step Functions • Amazon Redshift / Athena • Amazon SageMaker (training, deployment, pipelines) • Amazon Bedrock (foundation models, agents, knowledge bases) AI/ML & Agentic Systems • Experience with LLMs and generative AI systems • Hands-on with agent frameworks (e.g., multi-agent orchestration, tool calling, planning systems) • Familiarity with AgentCore / agent orchestration platforms • Understanding of RAG architectures , embeddings, and vector databases • Experience with model deployment, inference optimization, and prompt engineering Data Engineering • Strong proficiency in Python and SQL • Experience with ETL/ELT tools and frameworks • Distributed data processing (Spark, PySpark, or similar) • Streaming technologies (Kafka, Kinesis, or similar) • Data modeling and schema design Data & AI Infrastructure • Experience with vector databases (e.g., Pinecone, FAISS, OpenSearch) • Knowledge of data lakeh Description from EXL's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/agentic-ai-data-engineer-exl-0327951c) and use Apply now there to reach the employer's application. The listing is re-checked against EXL's careers page daily and removed when it closes. ## EXL 117 open analyst roles on Real Analyst Jobs. [More roles at EXL](https://realanalystjobs.com/companies/exl) ## More like this ### Other open roles at EXL - [Analyst](https://realanalystjobs.com/job/analyst-exl-058ccdf4), Gurugram, India (On-site) - [Associate - Data Analyst](https://realanalystjobs.com/job/associate-data-analyst-exl-9d52de29), India (On-site) - [Associate - Data Analyst](https://realanalystjobs.com/job/associate-data-analyst-exl-9f52e14f), India (On-site) - [Quality Analyst - Senior Executive](https://realanalystjobs.com/job/quality-analyst-senior-executive-exl-705b49ba), India (On-site) - [Senior BI Architect](https://realanalystjobs.com/job/senior-bi-architect-exl-97509620), Gurugram, India (On-site) - [Data analyst jobs in India](https://realanalystjobs.com/jobs/data-analyst-jobs-in-india) - [Analyst job market report](https://realanalystjobs.com/analyst-job-market) - [What analyst roles pay](https://realanalystjobs.com/blog/data-analyst-salaries) ## Sources and links - [This role on Real Analyst Jobs](https://realanalystjobs.com/job/agentic-ai-data-engineer-exl-0327951c) - [EXL on Real Analyst Jobs](https://realanalystjobs.com/companies/exl) - [All analyst jobs](https://realanalystjobs.com/jobs)