Agentic AI Data Engineer

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    "ShortDescriptionStr": "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.\nYou 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.\n",
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    "ExternalDescriptionStr": "<p>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.<br>\n  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.<br><br><span>Base Compensation Range: 110,000 - 160,000</span></p>\n<p><span><i>The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.</i></span></p>",
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    "CorporateDescriptionStr": "<div>\n EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit&nbsp;<a href=\"http://www.exlservice.com/\" target=\"_blank\" rel=\"nofollow\">www.exlservice.com</a>.\n</div>\n<div>\n <div>\n  <p class=\"MsoNormal\"><br/></p>\n </div><i>EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.</i>\n</div>\n<div>\n</div>",
    "ExternalPostedStartDate": "2026-06-10T16:25:03+00:00",
    "ExternalQualificationsStr": "<div> </div><p><strong>Cloud &amp; AWS Ecosystem</strong></p><ul><li><p>Strong experience with AWS services, including:</p><ul><li>Amazon S3, Glue, Lambda, Step Functions</li><li>Amazon Redshift / Athena</li><li>Amazon SageMaker (training, deployment, pipelines)</li><li>Amazon Bedrock (foundation models, agents, knowledge bases)</li></ul><p><strong>AI/ML &amp; Agentic Systems</strong></p></li><li>Experience with <strong>LLMs and generative AI systems</strong></li><li>Hands-on with <strong>agent frameworks</strong> (e.g., multi-agent orchestration, tool calling, planning systems)</li><li>Familiarity with <strong>AgentCore / agent orchestration platforms</strong></li><li>Understanding of <strong>RAG architectures</strong>, embeddings, and vector databases</li><li><p>Experience with model deployment, inference optimization, and prompt engineering</p><p><strong>Data Engineering</strong></p></li><li>Strong proficiency in Python and SQL</li><li>Experience with <strong>ETL/ELT tools and frameworks</strong></li><li>Distributed data processing (Spark, PySpark, or similar)</li><li>Streaming technologies (Kafka, Kinesis, or similar)</li><li><p>Data modeling and schema design</p><p><strong>Data &amp; AI Infrastructure</strong></p></li><li>Experience with <strong>vector databases</strong> (e.g., Pinecone, FAISS, OpenSearch)</li><li>Knowledge of <strong>data lakehouse architectures</strong> (Delta Lake, Iceberg, Hudi)</li><li>Containerization (Docker) and orchestration (Kubernetes)</li><li>CI/CD for ML and data pipelines</li></ul>",
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