Job Title: Full Stack AI Architect
Experience: 10+ years
Location: Hyderabad / Chennai
Work Model: Hybrid
Employment Type: Full-time
Job Number: 00062783518
Date Published: April 21, 2025
Travel Required: No
Category: Technology & Engineering
Summary
We are looking for a highly skilled Full Stack AI Architect to collaborate with the Principal Architect in designing and deploying LLM Agents and Multi-Agent Frameworks.
The ideal candidate should bring a minimum of 10 years in software engineering, with deep experience in AI/ML development.
The role demands strong problem-solving ability, full-stack expertise, and a mindset focused on execution and delivery of scalable AI-powered solutions.
Key Responsibilities
Collaborate with the Principal Architect to design and develop AI agents and multi-agent frameworks.
Develop and maintain scalable, robust, and maintainable microservices architectures.
Integrate AI agents seamlessly with enterprise systems and databases.
Build and maintain APIs and SDKs for both internal and external use cases.
Work closely with data scientists to fine-tune and optimize large language models (LLMs).
Implement ML Ops processes including CI/CD pipelines, model versioning, and experiment tracking.
Design and implement monitoring and observability tools to track model performance and detect anomalies.
Use Docker and Kubernetes for deployment, scaling, and orchestration of applications.
Leverage cloud services from AWS, Azure, or GCP for scalable infrastructure.
Build data pipelines to manage data ingestion, transformation, and storage efficiently.
Maintain data quality and enforce security best practices across the data lifecycle.
Mentor junior developers and foster a collaborative, innovative team environment.
Qualifications
10+ years of experience in software engineering with a strong AI/ML development background.
Strong frontend skills with frameworks like React, Angular, or Vue.js.
Hands-on experience with backend technologies such as Node.js, Python (Flask, Django, FastAPI), or Java.
Expertise in at least one cloud platform: AWS, Azure, or Google Cloud.
Ability to design and deliver complex, maintainable, and scalable solutions.
Strong problem-solving and analytical thinking skills.
Excellent communication and collaboration abilities.
Proven passion for staying current with the latest AI/ML trends and tools.
Demonstrated experience building end-to-end AI stacks using platforms like Azure ML, AWS SageMaker, or Google AI Platform.
Hands-on work with agent frameworks such as Autogen, AWS Agent Framework, or LangGraph.
Proficient in working with databases like MongoDB, PostgreSQL, or similar.
Example Projects
Led the development of an AI-powered recommendation engine using AWS SageMaker, with a Node.js backend and React frontend.
Designed and deployed a real-time fraud detection solution on Azure using Azure Machine Learning and Kubernetes.
Built and deployed a chatbot with Google AI Platform, using Django for the backend and MongoDB for data management.
The Cognizant Community
Join a team of over 300,000 associates around the globe committed to excellence and mutual support.
Be part of an inclusive, energetic, and innovative workplace where everyone can thrive.
Take pride in working at a company that prioritizes doing what’s right—for people, clients, communities, and the planet.
Create your own career path in an environment that values continuous growth and forward-thinking innovation.
About Cognizant
Cognizant is a global professional services leader helping businesses transform through digital solutions.
Our consultative, industry-specific approach empowers clients to innovate and scale efficiently.
Headquartered in the U.S., Cognizant is a NASDAQ-100 member and ranked among Forbes World’s Best Employers 2024.
Learn more at www.cognizant.com.
Equal Opportunity Statement
Cognizant is an equal opportunity employer.
We do not discriminate based on race, religion, color, gender, sexual orientation, identity, national origin, disability, or veteran status.
Disclaimer
Compensation details are accurate as of the job posting and are subject to updates per applicable laws.
Applicants may need to attend interviews virtually or in person.
Government-issued ID may be required at the time of interview.
