Senior GenAI Software Engineer
2 days ago
Cognizant is seeking a highly skilled Senior GenAI Software Engineer to join our team. As a key member of our Technology Consulting practice, you will play a pivotal role in developing cutting-edge generative AI solutions that drive business value.
Key Responsibilities:- Design and implement cloud-based software architectures using Azure and AWS, ensuring best practices and mandatory requirements are met.
- Design and implement software components that integrate with generative AI models and applications.
- Integrate advanced generative AI models, such as large language models (LLMs) and Transformers, to address specific business needs.
- Seamlessly incorporate generative AI capabilities into existing or new applications to enhance user experiences and drive innovation.
- Continuously evaluate and improve the performance of generative AI models to ensure they meet desired accuracy, efficiency, and scalability standards.
- Stay up-to-date with the latest advancements in generative AI research and technology to identify opportunities for innovation and improvement.
- Collaborate with data scientists, machine learning engineers, and product managers to ensure successful delivery of generative AI projects.
- Work closely with architects to define the overall architecture of generative AI solutions, ensuring scalability, performance, and maintainability.
- Ensure code quality: Write clean, well-structured, and maintainable code that adheres to best practices and coding standards.
- A minimum of 5+ years' experience in Technology services, with strong emphasis on Software Engineering delivery and architecture.
- A proven track record in guiding clients through advisory, technology selection, and solutioning, playing an outcome-focused role in leading complex transformation projects.
- Strong full-stack development skills: Proficiency in programming languages such as Python, Typescript, Java, or C++, as well as experience with front-end and back-end development frameworks.
- Expertise in generative AI: In-depth knowledge of generative AI techniques, including LLMs, GANs, and their applications.
- Cloud platform experience: Familiarity with cloud platforms, ideally Azure but AWS experience is also valuable.
- Machine learning frameworks: Proficiency in using machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Architectural design skills: Understanding of software architecture principles and ability to contribute to the design of scalable and maintainable systems.
- Problem-solving and analytical skills: Ability to analyze complex problems and develop effective solutions.
- Excellent communication skills: Strong written and verbal communication skills to effectively collaborate with team members and stakeholders.
- A dynamic and inclusive work environment that fosters innovation and growth.
- Opportunities for professional development and education.
- A comprehensive compensation and benefits package.
Cognizant is an equal opportunity employer that values diversity and inclusion. We are committed to creating a workplace where everyone feels valued, respected, and empowered to contribute their best work.
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