DGM-IOA Delivery
- Cognizant
- 12 - 14 years
- Mumbai
- 12 hours ago
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Job Description
Job Summary
The role is for a Tech Architect Artificial Intelligence responsible for designing and implementing AIpowered solutions under the guidance of a Principal Architect. The position focuses on developing LLM agents and multiagent frameworks ensuring robust microservices architecture seamless integration with core systems and implementing ML Ops practices. The candidate should have strong experience in backend technologies cloud platforms AWS Azure GCP containerization Docker Kubernetes and data
Responsibilities
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 tracking
Design and implement comprehensive monitoring and observability solutions to track model performance identify anomalies and ensure system stability
Utilize containerization technologies such as Docker and Kubernetes for efficient deployment and scaling of applications
Leverage cloud platforms such as AWS Azure or GCP for infrastructure and services
Design and implement data pipelines for efficient data ingestion transformation and storage
Ensure data quality and security throughout the data lifecycle
Mentor junior engineers and foster a culture of innovation collaboration and continuous learning
Qualifications
12+ years of experience in software engineering with a strong focus on AI/ML
Strong handson 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
Optional proficiency in frontend frameworks like React Angular or Vue.js
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 Platform
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
Certifications Required
AI ML certification preferred
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Solution ArchitectEmployement Type: Full timeContact Details:
Company: CognizantLocation(s): Mumbai
Keyskills: kubernetes analytical ci/cd artificial intelligence docker containerization java gcp awsazure backend software engineering mongodb ml communication skills python microsoft azure aiml cloud platforms problem solving front end framework node.js django collaboration aws flask
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