Sr. AI Forward Deployment Engineer

Responsibilities: 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.

Do you have experience in Systems integration?, Do you have a Master’s degree?, * 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 technologiesWillingness 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)