Job Title: Full Stack AI Architect Exp: 10yrsLocation: Hyderabad/Chennai Summary: _We are_ _seeking a highly skilled Full Stack AI Architect to join our team and work under the guidance of Principal Architect to develop and deploy LLM Agents & Multi-Agent Frameworks. The ideal candidate will have 10+ years of experience in software engineering, with a strong focus on AI/ML. This role requires excellent problem-solving capabilities and a strong execution mindset to drive the development and deployment of AI-powered solutions._ _Responsibilities:_ + _Collaborate with the Principal Architect to design and implement AI agents and multi-agent frameworks._ + _Develop and maintain robust, scalable, and maintainable microservices architectures._ + _Ensure seamless integration of AI agents with core systems and databases._ + _Develop APIs and SDKs for internal and external consumption._ + _Work closely with data scientists to fine-tune and optimize LLMs for specific tasks and domains._ + _Implement ML Ops practices, including CI/CD pipelines, model versioning, and experiment tracking1._ + _Design and implement comprehensive monitoring and observability solutions to track model performance, identify anomalies, and ensure system stability2._ + _Utilize containerization technologies such as Docker and Kubernetes for efficient deployment and scaling of applications3._ + _Leverage cloud platforms such as AWS, Azure, or GCP for infrastructure and services3._ + _Design and implement data pipelines for efficient data ingestion, transformation, and storage4._ + _Ensure data quality and security throughout the data lifecycle5._ + _Mentor junior engineers and foster a culture of innovation, collaboration, and continuous learning._ _Qualifications:_ + _10+ years of experience in software engineering with a strong focus on AI/ML._ + _Proficiency in frontend frameworks like React, Angular, or Vue.js._ + _Strong hands-on experience with backend technologies like Node.js, Python (with frameworks like Flask, Django, or FastAPI), or Java._ + _Experience with cloud platforms such as AWS, Azure, or GCP._ + _Proven ability to design and implement complex, scalable, and maintainable architectures._ + _Excellent problem-solving and analytical skills._ + _Strong communication and collaboration skills._ + _Passion for continuous learning and staying up to date with the latest advancements in AI/ML._ + _End-to-end experience with at least one full AI stack on Azure, AWS, or GCP, including components such as Azure Machine Learning, AWS SageMaker, or Google AI Platform3._ + _Hands-on experience with agent frameworks like Autogen, AWS Agent Framework, LangGraph etc._ + _Experience with databases such as MongoDB, PostgreSQL, or similar technologies for efficient data management and integration._ _Illustrative Projects you may have worked on:_ + _Successfully led the development and deployment of an AI-powered recommendation system using AWS SageMaker, integrating it with a Node.js backend and a React frontend._ + _Designed and implemented a real-time fraud detection system on Azure, utilizing Azure Machine Learning for model training and Kubernetes for container orchestration._ + _Developed a chatbot using Google AI Platform, integrating it with a Django backend and deploying it on GCP, ensuring seamless interaction with MongoDB for data storage_ Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.