Job Specifications
Senior Gen AI Analyst
Location: New York, NY
Role Overview
EXL is looking for a Senior Gen AI Analyst partners closely with Product, Sales, Marketing, and Engineering teams to apply cutting edge Gen AI tools and techniques, along with advanced analytics to solve complex problems across prospecting, existing customer, sales and data journeys. This role focuses on identifying customer intent, improving decision-making and boosting sales productivity by focusing on generating insights embedded in the sales and customer workflows. This role requires deep technical judgment, hands-on modeling experience, and the ability to translate complex customer, sales and behavioral data into scalable machine learning and LLM driven solutions.
Required Skills & Qualifications
PhD-level candidate with strong expertise across analytics and advanced AI/ML and LLM techniques or a Master’s candidate with at least 3 years of work experience in Generative AI/ Advanced ML
Strong proficiency in Python and SQL, with the ability to implement, test, and iterate on ML / LLM-based solutions efficiently.
An expert in LLM including prompt engineering, creation of evaluation datasets, understanding LLM capabilities and limitations, and familiarity with LLM performance metrics.
Knowledge of how to automate or fast track the prompt engineering process via latest techniques (Reinforcement Learning).
Familiarity using contemporary LLM frameworks and tooling such as LangChain and proven experience executing LLM / GenAI use cases in practical settings, such as prompt engineering, retrieval-augmented generation (RAG), and integration with data pipelines or downstream applications.
Strong execution capability: Execution-oriented mindset with the ability to translate business questions into working, deployable ML solutions, prioritizing speed, correctness, and practical impact.
Experience working with modern data and ML tooling, and comfort operating in fast-moving, cross-functional environments.
Strong analytical and problem-solving skills, with a high level of reliability and accountability in delivering assigned work independently and on schedule.
Nice to Have:
Experience with reinforcement learning, fine-tuning, or/and lightweight RL-based approaches applied to LLMs or related models is a strong plus.
Familiarity with LLM agent design patterns, including debugging, monitoring, or iterating on multi-step or long-running executions in real-world environments is a plus.
Some research or exploratory experience (e.g., prototyping, experimenting with new techniques, reading and applying recent work), while maintaining a strong focus on execution and delivery, is a plus.
Why EXL
At EXL, you’ll work at the intersection of life sciences, cloud modernization, and AI — helping clients build data ecosystems that drive better outcomes, accelerate research, and power next-generation analytics.
Expected Hours of Work:
Employees are required to work 40 hours per week. This role may require more than 40 hours per week and/or weekends
Base Salary: $110,000 - $125,000 per year, commensurate with experience. This range is provided as a general guideline and may vary based on qualifications, skills, and location.
Base Salary Range Disclaimer: The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits.
To view our total rewards offered click here —> https://www.exlservice.com/us-careers-and-benefits
About the Company
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 increasin...
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