We are looking for a results-oriented AI Engineer to join our team developing intelligent Q&A systems powered by large language models. You will help build, test, and optimize pipelines that enable automatic question-answering from large document collections, supporting our mission to surface key knowledge rapidly and accurately.

Responsibilities:

· Build, fine-tune, and evaluate LLM-based Q&A models using frameworks like AWS Bedrock, Langchain, HuggingFace Transformers or OpenAI API.

· Design prompt templates and implement retrieval strategies to increase answer precision and factuality.

· Assist in creating data pipelines for training and testing, including annotation and evaluation tooling.

· Collaborate with senior engineers and product managers to translate user requirements into technical features.

· Participate in error analysis, iterative model improvement, and performance tuning.

· Document code and workflows clearly; follow best practices for reproducibility and code quality.

Requirements:

· Hands-on experience with machine learning, NLP, or information retrieval projects, preferably with language models.

· Proficiency in Python and familiarity with deep learning/NLP libraries (Langchain, PyTorch, TensorFlow, HuggingFace Transformers).

· Knowledge of vector databases or semantic search concepts is desirable.

· Eagerness to learn, strong problem-solving skills, and ability to work collaboratively in agile teams.

· Experience with Git, collaborative development workflows, and cloud infrastructure (AWS, Azure, GCP, Domino) is a plus.

At Cognizant you will experience an exciting mix of innovation by design, creativity, collaboration, and efficiency within a framework of stimulating objectives and a passion for delivering the best to our customers.

You will be joining a network of some of the most creative, innovative, and dedicated people in the industry with ample opportunities to learn and develop your career.

Our Associates are chosen for their attitude, skills, knowledge, and enthusiasm but above all, their belief that anything is possible.

Cognizant is an equal opportunities employer, and we welcome all applications regardless of race, colour, gender, ethnic origin, nationality, religion or beliefs, disability, age, sexual orientation, political opinions, or trade union membership.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 300,000 associates around the world.
• We don’t just dream of a better way – we make it happen.
• We take care of our people, clients, company, communities and climate by doing what’s right.
• We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.