[Remote] Agentic AI Data Engineer

Note: The job is a remote job and is open to candidates in USA. EXL is a leading data analytics and digital operations company that partners with clients to reinvent business models using data and AI. The Agentic AI Data Engineer role involves designing and building intelligent data systems that enhance AI applications, focusing on data engineering, machine learning infrastructure, and agent-based AI frameworks.ResponsibilitiesDesign and implement agentic AI systems that autonomously orchestrate data workflows and decision pipelinesBuild 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 frameworksIntegrate AWS AI/ML services into production-grade architecturesDevelop and optimize data lakes, warehouses, and lakehouse architecturesBuild APIs and microservices to expose AI/ML capabilitiesEnsure data quality, governance, and security across pipelinesCollaborate with data scientists, ML engineers, and product teams to deploy AI solutionsImplement monitoring, logging, and observability for AI agents and pipelinesOptimize cost and performance of cloud-based AI workloadsSkillsExperience (In Years): 6-9Strong 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)Experience with LLMs and generative AI systemsHands-on with agent frameworks (e.g., multi-agent orchestration, tool calling, planning systems)Familiarity with AgentCore / agent orchestration platformsUnderstanding of RAG architectures, embeddings, and vector databasesExperience with model deployment, inference optimization, and prompt engineeringStrong proficiency in Python and SQLExperience with ETL/ELT tools and frameworksDistributed data processing (Spark, PySpark, or similar)Streaming technologies (Kafka, Kinesis, or similar)Data modeling and schema designExperience 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 pipelinesCompany OverviewEXL is a provider of Transformation and Outsourcing services to Global 1000 companies in multiple industries It was founded in 1999, and is headquartered in New York, New York, USA, with a workforce of 10001+ employees. Its website is http://www.exlservice.com.Company H1B SponsorshipEXL has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.