Job DescriptionOverview:This role is client-facing, hands-on technical role that embeds with enterprise customers to deploy AI models and agentic workflows into production environments. They bridge the gap between the EXLdata.AI platform team focusing practical application, building, coding, and troubleshooting solutions to solve complex business problems while providing feedback to improve the core AI platform.
ResponsibilitiesOverview:This role is client-facing, hands-on technical role that embeds with enterprise customers to deploy AI models and agentic workflows into production environments. They bridge the gap between the EXLdata.AI platform team focusing practical application, building, coding, and troubleshooting solutions to solve complex business problems while providing feedback to improve the core AI platform.
QualificationsRequirements:- Master's degree in Computer Science, Computer Engineering, Data Science, Analytics, Mathematics, or a related technical field
- Strong programming skills in one or more languages such as Python, Java, or Scala
- Foundational knowledge of machine learning, artificial intelligence, and/or data engineering concepts
- Exposure to building, testing, or deploying models or data pipelines through academic projects, internships, or research
- Familiarity with modern AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, or similar)
- Understanding of APIs, system integration, and working with structured and unstructured data
- Strong problem-solving skills with the ability to translate business challenges into technical solutions
- Excellent communication skills and ability to work directly with clients in a professional setting
- Ability to thrive in ambiguous, fast-paced environments and quickly learn new technologies
- Willingness to travel and work on-site with enterprise clients as needed
Preferred Qualifications:
- Exposure to cloud platforms such as AWS, Azure, or Google Cloud
- Experience with LLMs, generative AI, or agent-based workflows
- Knowledge of data engineering tools (e.g., Spark, Databricks, Airflow)
- Prior client-facing experience through internships, consulting projects, or research collaborations
- Understanding of software development best practices (version control, CI/CD, testing)
About the TeamEXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration - and we've been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that's unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It's our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we're some of the best in the business. Contact us to see how we can help you achieve your goals.
