Generative AI Engineer Job in Hyderabad | Join Cognizant’s AI Innovation Team Today
Job Opportunity: Generative AI Engineer – Join Cognizant’s Cutting-Edge Innovation Team in Hyderabad
Are you a tech-savvy innovator with a passion for generative AI, machine learning, and scalable model deployment? Cognizant is seeking a skilled and experienced Generative AI Engineer to join our dynamic team in Hyderabad. If you’re eager to work with state-of-the-art AI technologies, develop powerful language models, and play a critical role in AI transformation, this role is tailor-made for you.
About Cognizant
Cognizant stands at the forefront of professional services, empowering businesses to upgrade their technology, redesign operations, and enhance customer experiences to thrive in an ever-evolving digital landscape. With over 300,000 professionals worldwide, we operate at the intersection of business and technology. Recognized as one of Forbes World’s Best Employers 2024 and listed on the NASDAQ-100, Cognizant delivers future-ready solutions and fosters a work culture rooted in innovation, inclusivity, and growth.
Position Overview: Generative AI Engineer
Job Title: Generative AI Engineer
Location: Hyderabad, India
Employment Type: Permanent – Full-time
Experience Required: 4+ years preferred in AI/ML-related roles
Domain: AI/ML, NLP, Generative AI, Cloud Deployment
Industry: Information Technology, Digital Transformation
Key Responsibilities
As a Generative AI Engineer at Cognizant, you will play a vital role in designing, training, and deploying advanced AI systems. Your responsibilities will span across data preparation, model optimization, backend development, and cloud-based deployment.
1. AI Data Engineering and Preparation
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Gather, refine, and prepare diverse data types for training and assessing the performance of generative AI models.
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Generate and augment synthetic data for enhanced model performance.
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Implement data chunking and embeddings to manage large custom datasets.
2. Model Development and Optimization
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Design and fine-tune large-scale language models using Transformers, GANs, and VAEs.
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Work on core NLP tasks including text generation, language understanding, parsing, and contextual analysis.
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Continuously fine-tune LLMs for accuracy, reliability, and domain-specific applicability.
3. Backend Engineering and AI Pipelines
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Develop backend services using Python or .NET to support AI-powered applications.
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Build robust pipelines for training, evaluating, and deploying AI models at scale.
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Integrate OpenAI solutions and other generative AI tools into business ecosystems.
4. Cloud Deployment and Integration
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Deploy and monitor AI models on cloud platforms such as Azure, AWS, or GCP.
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Leverage containerization technologies like Docker and orchestration tools like Kubernetes for scalable AI deployments.
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Leverage Azure Cognitive Services or equivalent APIs to extend the functionality and intelligence of AI solutions.
5. Collaboration and Innovation
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Collaborate with cross-functional teams to deliver end-to-end AI solutions.
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Actively contribute to R&D, bringing fresh ideas and improvements to the AI roadmap.
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Stay up-to-date with the latest AI trends and technologies to keep our solutions future-ready.
Required Skills and Experience
We are looking for a highly competent professional with a blend of technical knowledge, practical AI experience, and innovative thinking.
Core Technical Competencies
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Solid expertise in machine learning, deep learning techniques, and core principles of computer science.
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Practical experience working with generative AI architectures such as GANs, VAEs, Transformers, and similar advanced models.
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Proficiency in Python, including libraries such as TensorFlow, Keras, PyTorch, and scikit-learn.
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Experience in Natural Language Processing (NLP) and tasks such as sentiment analysis, text summarization, and GPT-based models.
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Understanding of computer vision is a plus.
Cloud and DevOps Knowledge
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Experience deploying models using Azure, AWS, or Google Cloud Platform.
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Working knowledge of Docker, Kubernetes, and CI/CD pipelines for AI workflows.
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Familiarity with RESTful APIs and cloud-native services like Azure ML, Amazon SageMaker, etc.
Data Engineering Proficiency
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Experience in data preprocessing, labeling, augmentation, and synthetic data generation.
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Ability to manage and structure large datasets for model training and inference.
Professional Attributes
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Proven ability to work both independently and within a collaborative, fast-paced environment.
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Strong analytical mindset with excellent problem-solving and debugging skills.
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Excellent communication abilities paired with a strong drive for ongoing learning and a mindset geared toward innovation.
Why Join Cognizant?
1. Work with Future-Forward Technologies
Get exposure to cutting-edge AI tools and be part of transformative initiatives using GPT models, generative neural networks, and multi-modal AI frameworks.
2. Global and Inclusive Culture
Be a part of a global community that values diversity, collaboration, and personal growth. At Cognizant, your contributions are recognized and your voice is heard.
3. Career Development Opportunities
Explore various learning paths, certifications, mentorship programs, and professional development opportunities designed to help you shape your career journey.
4. Purpose-Driven Work
Make a meaningful impact by developing solutions that enhance client experiences, streamline operations, and contribute to a smarter, digital-first world.
5. Ethical and Responsible Innovation
We uphold the highest standards of ethics and data responsibility in every AI solution we develop. At Cognizant, innovation is always balanced with integrity.
Equal Opportunity Statement
Cognizant takes pride in being an employer that champions equal opportunities for all individuals.
We are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, gender, age, disability, religion, sexual orientation, or any other protected characteristic as defined by law.
Application Process
Candidates may be invited to interviews via video conference or in-person, depending on the situation. Please ensure you have valid state or government-issued ID ready for verification during the interview process.
Compensation and Benefits
While compensation details are subject to change as per company policy, Cognizant remains committed to offering competitive remuneration packages aligned with industry standards, along with health benefits, upskilling opportunities, and wellness programs.
How to Apply
Take your AI career to the next level.
🔗 Visit the official Cognizant Careers Portal at www.cognizant.com
🔍 Search for “Generative AI Engineer – Hyderabad”
📩 Submit your resume and project portfolio for consideration
Final Words
Join Cognizant’s AI Center of Excellence and be part of a thriving ecosystem that empowers you to push the boundaries of what’s possible. As a Generative AI Engineer, you won’t just build models—you’ll shape the future of enterprise AI solutions.
At Cognizant, we don’t just imagine better solutions — we bring them to life.