AI Forward Deployment Engineer
We tailor your resume to this role and apply for you in seconds.
Apply to AI Forward Deployment Engineer at EXL Talent Acquisition TeamJob details
- Location
- New York City or
- Work type
- Hybrid
- Posted
- 1 week ago
- Apply on
- fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com
About this role
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.
Responsibilities
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.
Qualifications
Requirements:
- 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)