AI Agentic Architect/Lead

The Architect/Lead is responsible for the end-to-end vision, design, and successful production deployment of complex, autonomous AI systems (Agents). Hands-on expertise in architecting and deploying AI/ML solutions on a leading cloud platform Azure/AWS/GCP. Demonstrated expertise in Python and modern ML/AI frameworks, with the ability to design, implement, and optimize complex agentic workflows.

System Design & Architecture

• Lead the design and development of agentic systems using GenAI and Machine Learning. This involves selecting the right frameworks (like LangChain, LlamaIndex, or proprietary solutions) and architectural patterns.
• Engineer dynamic context using memory modules, prompt templates, and retrieval strategies.
• Define and enforce guardrails and context governance across agent interactions and LLM outputs. Prioritize security by implementing secure architecture patterns

Full-Stack ML/AI Engineering Expertise

• Own the full lifecycle: data sourcing, model development, orchestration, deployment, and LLMOps.
• Rapidly prototype solutions to validate technical feasibility and then successful Minimum Viable Products (MVPs) into robust, scalable enterprise applications that demonstrably meet core KPIs
• Proven hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, or equivalent, including designing multi-agent workflows and tool-augmented reasoning systems.
• Determine when and how to apply fine-tuning or prompt engineering to optimize model performance
• Expertise in applying advanced model selection, feature engineering, and evaluation techniques.
• Establish monitoring strategies utilizing cloud-native tools like Azure Monitor and Application Insights

Institute MLOps/LLMOps practices for tracking model iterations, deployment gates , rapid restoration, and actively monitoring drift detection

• Design and automate Continuous Integration and Continuous Delivery (CI/CD) pipelines, leveraging tools like Azure DevOps, GitHub Actions, or similar systems

Technical Leadership

• Serve as the authority on critical architectural choices, trade-offs, and technology stack selection.

• Work closely with Product Owners to define requirements, Data Scientists, Business Stakeholders acting as the primary technical interface.

  
  

  Send your resume to jwalesh.b@cognizant.com

  
  

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About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Disclaimer: 
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.