We are seeking an ambitious Data and AI Engineer with 5-8 years of experience to play a pivotal role in modernizing client’s core data infrastructure and scaling advanced AI capabilities. This role bridges legacy big data environment and future cloud platform. You will actively maintain and optimize our existing data pipelines while architecting, developing, and transitioning workflows to an AI-ready cloud ecosystem. Beyond traditional data pipelines, you will play an active role in building and deploying intelligent AI agents and leveraging advanced Large Language Models (LLMs) like Anthropic Claude, utilizing the cutting-edge Databricks AI suite to deliver immediate business value.
ResponsibilitiesROLES AND RESPONSIBILITIES: • Cloud Modernization & Migration: Deconstruct legacy Apache Spark and Hadoop MapReduce workflows to re-architect and rebuild them as optimized, production-ready pipelines within AWS and Databricks. • AI Agent & LLM Development: Design, build, and deploy intelligent AI agents and workflow automation tools leveraging leading Large Language Models (LLMs) such as Anthropic Claude. • AI Data Pipeline Engineering: Build and optimize pipeline architectures explicitly tailored for AI use cases, including unstructured data ingestion, real-time feature tokenization, and metadata tagging for vector databases. • Legacy Infrastructure Maintenance: Monitor, maintain, and troubleshoot existing big data workloads running on our Hadoop cluster to guarantee data availability for business operations during the multi-phase migration, resolving bottlenecks and Out Of-Memory (OOM) errors. • BI Engineering & Support: Act as the primary engineering liaison for downstream business stakeholders utilizing BI tools (e.g. Tableau, Looker, etc.) by performing minor functional enhancements, bug fixes, and data extract optimizations to resolve report dashboard latency. • Cloud Optimization: Utilize Databricks and Delta Lake features (e.g., ACID transactions, Z-Ordering, caching) to significantly improve pipeline performance, reliability, and cost efficiency. • Databricks AI Suite Implementation: Leverage Databricks tools (such as Databricks Vector Search, Mosaic AI, and Lakeflow) to orchestrate, track, and serve productio
QualificationsAI & Agentic Frameworks: Hands-on experience or deep technical familiarity building functional AI agents, integrating LLM APIs (specifically Anthropic Claude), and utilizing orchestration frameworks (e.g., LangChain, Databricks Mosaic AI Agent Framework or any other tool ). • Distributed Computing: Foundational understanding of distributed storage and computing concepts—specifically partitioning, shuffling, caching, and broadcast joins. Solid hands-on experience with Apache Spark is required. • Programming & SQL: Strong proficiency in Python (PySpark) or Scala, alongside intermediate-to-advanced SQL querying capabilities (window functions, query tuning, and complex joins). • Cloud & Databricks Exposure: Direct experience or deep theoretical knowledge of the AWS ecosystem (S3, IAM) and Databricks environments. • Visualization Layer: Practical experience working with any BI tool (e.g. Tableau, Looker, Power BI, etc.) with the capability to debug calculated fields, modify parameters, and troubleshoot slow-loading reports.
Skills Required
- 5-8 years of professional experience
- Hands-on experience or deep technical familiarity building functional AI agents
- Experience integrating LLM APIs, specifically Anthropic Claude
- Experience with an AI orchestration framework such as LangChain or Databricks Mosaic AI Agent Framework
- Foundational knowledge of distributed storage and computing concepts, including partitioning, shuffling, caching, and broadcast joins
- Strong hands-on experience with Apache Spark
- Proficiency in Python with PySpark or Scala
- Intermediate-to-advanced SQL skills, including window functions, query tuning, and complex joins
- Experience or deep theoretical knowledge of AWS, including S3 and IAM, and Databricks environments
- Practical experience with a BI tool such as Tableau, Looker, or Power BI
- Ability to debug calculated fields, modify parameters, and troubleshoot slow-loading BI reports
EXL Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.
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Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
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Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
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Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.
EXL Insights
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
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