Job Title: Principal Architect - LLM Agents & Multi-Agent Frameworks
Exp: 14+ yrs
Location: Hyderabad/Chennai
Summary: We are looking for a visionary Principal Architect to lead the design, development, and deployment of AI-powered solutions. This role is crucial in shaping our platform's future by architecting intelligent agents and multi-agent frameworks using the latest advancements in Large Language Models (LLMs). The ideal candidate will have over 14 years of software engineering experience, with at least 5 years focused on AI/ML. They will possess deep expertise across the full stack, including frontend frameworks like React and Angular, backend technologies like Node.js and Python, and cloud platforms such as AWS, Azure, or GCP. Responsibilities include leading architectural design, integrating AI agents with core systems, developing APIs, and collaborating with data scientists to fine-tune LLMs. The role also involves establishing ML Ops practices, designing data pipelines, and mentoring junior engineers. Strong problem-solving skills, excellent communication, and a passion for continuous learning are essential.
Responsibilities:
o Define and evolve the overall architecture for LLM-powered agents and multi-agent systems that optimize agent economics over time.
o Design and implement robust, scalable, and maintainable microservices architectures.
o Ensure seamless integration of AI Agents with other core systems and databases.
o Oversee the development of APIs and SDKs for internal and external consumption.
o Possess deep expertise across the full stack, including:
o Frontend: React, Angular, Vue.js, or similar frameworks.
o Backend: Node.js, Python (with frameworks like Flask, Django, or FastAPI), Java, or other relevant languages.
o Database: SQL (MySQL, PostgreSQL), NoSQL (MongoDB, Cassandra), and experience with database design, optimization, and management.
o Cloud Platforms: Any 02 out of AWS, Azure, GCP (experience with serverless computing, containerization, and cloud-native technologies is a must).
o Collaborate with data scientists and ML engineers to fine-tune and optimize LLMs for specific tasks and domains.
o Develop and implement robust model evaluation and monitoring systems such as Arize, LangSmith etc.
o Stay abreast of the latest advancements in LLM research and development.
o Hands-on experience with agent frameworks like Autogen, AWS Agent Framework, LangGraph etc.
o Develop and refine effective prompting strategies to maximize the performance of LLMs.
o Design and implement mechanisms for safe and reliable LLM integration.
o Address challenges related to bias, hallucinations, and other potential LLM limitations.
o Establish and maintain robust ML Ops practices, including CI/CD pipelines, model versioning, and experiment tracking.
o Implement comprehensive monitoring and observability solutions to track model performance, identify anomalies, and ensure system stability.
o Design and implement data pipelines for efficient data ingestion, transformation, and storage.
o Ensure data quality and security throughout the data lifecycle.
o Guide and mentor junior engineers in best practices for development and deployment of agents.
o Foster a culture of innovation, collaboration, and continuous learning within the team.
Qualifications:
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
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 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Our commitment to diversity and inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. 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 protected characteristic as outlined 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.
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