Principal Architect
- Cognizant
- 14 - 16 years
- Mumbai
- 18 hours ago
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Job Description
Job Summary
Principal Architect - LLM Agents and Multi-Agent Frameworks
Responsibilities
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 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 and 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
Lead Architectural Design
Define and evolve the overall architecture for LLM-powered agents and multi-agent systems that optimize agent economics over time
Design and implement robust scalable and maintainable microservices architectures
Ensure seamless integration of AI Agents with other core systems and databases
Oversee the development of APIs and SDKs for internal and external consumption
Model Building and Fine-tuning
Collaborate with data scientists and ML engineers to fine-tune and optimize LLMs for specific tasks and domains
Hands-on experience with agent frameworks like Autogen AWS Agent Framework LangGraph etc
Develop and implement robust model evaluation and monitoring systems such as Datadog LangSmith etc
Stay abreast of the latest advancements in LLM research and development
Prompt Engineering and LLM Integration
Develop and refine effective prompting strategies to maximize the performance of LLMs
Design and implement mechanisms for safe and reliable LLM integration
Address challenges related to bias hallucinations and other potential LLM limitations
ML Ops and Observability
Establish and maintain robust ML Ops practices including CI/CD pipelines model versioning and experiment tracking
Implement comprehensive monitoring and observability solutions to track model performance identify anomalies and ensure system stability
Data Engineering
Design and implement data pipelines for efficient data ingestion transformation and storage
Ensure data quality and security throughout the data lifecycle
Full-Stack Expertise
Team Leadership and Mentorship
Guide and mentor junior engineers in best practices for development and deployment of agents
Foster a culture of innovation collaboration and continuous learning within the team
Qualifications
Certifications Required
AI ML certification preferred
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full timeContact Details:
Company: CognizantLocation(s): Mumbai
Keyskills: continuous integration analytical ci/cd artificial intelligence sql cloud containerization java leadership backend software engineering mongodb communication skills ml cd python serverless aiml front end framework node.js django collaboration system architecture aws flask
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