Overview:
EXL, a global consultancy, seeks Computer Science, Computer Engineering, Analytics, Math and Multidisciplinary majors who are willing to learn an Agentic AI product suite and then go into industry as a Forward Deployment Engineer.
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:
EXL, a global consultancy, seeks Computer Science, Computer Engineering, Analytics, Math and Multidisciplinary majors who are willing to learn an Agentic AI product suite and then go into industry as a Forward Deployment Engineer.
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)
Skills Required
- Master's degree in Computer Science, Computer Engineering, Data Science, Analytics, Mathematics, or 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)
- 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
- 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)
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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