Summary:
- We are seeking a highly skilled and innovative GenAI Specialist to join our team. This role involves leveraging Large Language Models (LLMs) to drive projects and enhance our AI capabilities. The ideal candidate will have extensive experience with various LLMs, tools, and frameworks, and will be responsible for designing, implementing, and monitoring GenAI projects.
Key Responsibilities:
- Usage of Large Language Models in Projects: Utilize models examples: Azure Open AI Model, Gemini 1.5 Model, Claude Model, and Mistral Model to develop and optimize AI solutions. Implement LLM APIs during project work to ensure seamless integration and functionality
- Tools and Technologies:Deploy one of the tools like Google Gemini, Azure OPen AI, AWS Bedrock, AWS Sagemaker, AWS Titan, Azure AutoML / AzureML, and Google Bigquery to support AI development and deployment.
Apply prompt engineering techniques to enhance model performance and accuracy. - End-to-End GenAI Architecture: Design and implement end-to-end GenAI architecture, addressing questions related to architecture design and optimization. Integrate frameworks such as RAG, Langchain, Llama Index, Crew AI, AutoGen, and Agentic AI Framework to support project requirements.
Monitoring and Optimization:
- Develop and implement monitoring frameworks for GenAI projects to ensure model performance and reliability. Manage LLM Ops and Model FinOps to optimize resource usage and cost-efficiency
- LLM Accuracy and Working Experience:Ensure high accuracy of LLMs through rigorous testing and validation. Provide insights and recommendations based on working experience with LLMs to continuously improve AI solutions
- Proven experience with Large Language Models and AI tools.
- Strong understanding of GenAI architecture and frameworks.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.
Preferred Skills:
- Experience with Azure Open AI Model, Gemini 1.5 Model, Claude Model, and Mistral Model.
- Proficiency in using AWS Bedrock, AWS Sagemaker, AWS Titan, Azure AutoML / AzureML, and Google Bigquery.
- Knowledge of prompt engineering techniques and LLM APIs.
- Familiarity with RAG, Langchain, Llama Index, Crew AI, AutoGen, and Agentic AI Framework.
- Strong background in monitoring frameworks and LLM Ops / Model FinOps.
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 2024) 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 [email protected] 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.