Note: The job is a remote job and is open to candidates in USA. Cognizant is a digital services company seeking a Senior AI/ML Engineer to design, develop, and deploy enterprise-scale AI-powered solutions. The role focuses on Generative AI, Agentic AI, NLP, machine learning, data pipelines, MLOps, governance, and collaboration with stakeholders to deliver reliable solutions aligned with business objectives.
Responsibilities
- Design, develop, and deploy production-grade AI and Machine Learning solutions
- Build and maintain advanced Generative AI and Agentic AI applications utilizing multi-agent orchestration frameworks
- Develop Retrieval-Augmented Generation (RAG) solutions and Natural Language-to-SQL (Text-to-SQL) applications
- Create and optimize LLM evaluation, monitoring, observability, and governance frameworks
- Design scalable NLP solutions, including text classification, semantic search, topic modeling, sentiment analysis, and embedding-based applications
- Develop and deploy machine learning models using statistical and deep learning techniques
- Build high-performance data pipelines and AI workflows using Python, PySpark, SQL, and cloud-native technologies
- Implement MLOps best practices including CI/CD, model validation, monitoring, drift detection, and automated quality controls
- Collaborate with stakeholders to understand business requirements and deliver scalable AI solutions aligned with organizational objectives
- Ensure AI systems adhere to enterprise governance, security, compliance, and responsible AI standards
- Contribute to AI platform architecture, solution modernization initiatives, and continuous improvement efforts
Skills
- Bachelor's degree in computer science, Data Science, Engineering, Mathematics, or a related field
- 8+ years of experience in Machine Learning, Artificial Intelligence, Data Science, or related disciplines
- Strong hands-on experience developing and deploying enterprise AI/ML solutions in production environments
- Proven experience with Generative AI technologies, including RAG, agent-based systems, prompt engineering, and LLM evaluation
- Expertise in Python and AI/ML libraries such as PyTorch, TensorFlow, Scikit-Learn, and Hugging Face
- Experience with LangGraph and/or LangChain for AI application development
- Strong knowledge of NLP techniques including classification, semantic similarity, embeddings, clustering, and topic modeling
- Experience designing and implementing scalable data pipelines using SQL and PySpark
- Experience deploying solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform
- Knowledge of containerization and orchestration technologies including Docker and Kubernetes
- Experience implementing MLOps practices, including model deployment, monitoring, validation, CI/CD, and observability
- Strong communication skills with the ability to translate technical concepts into business value
- This role is not able to offer visa transfer or sponsorship now or in the future
Benefits
- This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
- Remote position open to qualified applicants in the United States
- Various wellbeing programs
Company Overview