Module Lead-AI

Role: Module Lead-AI

About Kumaran Systems

Kumaran Systems is a global technology solutions provider delivering innovative IT services and digital transformation solutions to clients worldwide. We foster a collaborative, growth-driven work culture and offer employees opportunities to work on global assignments, enabling both professional and personal development.

Role Overview

We are seeking an experienced AI Technical Lead to drive the architecture, design, development, and deployment of enterprise-grade Artificial Intelligence solutions. The ideal candidate will possess strong expertise in Generative AI, Agentic AI, Machine Learning, NLP, Computer Vision, Python, and Cloud Technologies, with proven experience in taking AI initiatives from concept to production.

The role requires close collaboration with customers, business stakeholders, architects, and engineering teams to conceptualize innovative AI solutions, develop rapid Proof of Concepts (PoCs), create technical artifacts, and ensure successful production deployment. Candidates should have deep expertise in AI solution design, Multi-Agent systems, and modern AI architectures.

Location: Chennai (Guindy)

Work Mode: Hybrid

Experience Required: 8 to 12 Years Overall Experience

AI Experience: Minimum 5+ Years

Key Responsibilities

• Own AI solutions technically and drive end-to-end delivery from stakeholder discussions and solution conceptualization to production deployment.
• Work closely with customers, business stakeholders, architects, and technical teams to design and implement AI-driven business solutions.
• Develop rapid Proof of Concepts (PoCs) and feasibility studies to validate solution approaches and business value.
• Support pre-sales activities by proposing the right AI solutions, conducting customer discussions, and defining implementation roadmaps.
• Create and maintain technical solution artifacts including architecture diagrams, design documents, workflows, and implementation plans.
• Drive AI solutions toward production-grade maturity by mentoring development teams and enforcing engineering best practices.
• Collaborate with cross-functional teams to ensure successful and timely solution delivery.
• Participate in design reviews, technical discussions, and technology evaluations.
• Ensure scalability, reliability, performance, security, and maintainability of AI applications.
• Stay up to date with emerging AI technologies, frameworks, and industry trends, recommending innovative approaches where appropriate.

Required Skills & Experience

• 8 to 12 years of overall IT experience with a minimum of 5 years in AI/ML solution design and development.
• Strong programming expertise in Python with experience in designing and developing scalable enterprise applications.
• Hands-on experience in designing and developing Multi-Agent AI Systems using Agent SDKs, A2A (Agent-to-Agent), and MCP (Model Context Protocol) frameworks.
• Extensive experience in Generative AI solution development, including:
• Retrieval-Augmented Generation (RAG)
• Agentic RAG
• Vector Databases
• Agentic Patterns
• AI Orchestrators
• Planning Frameworks
• Experience fine-tuning Large Language Models (LLMs) such as Mistral, Ollama, and similar open-source models using domain-specific datasets.
• Hands-on experience designing AI evaluation frameworks and implementing AgentOps practices for monitoring, governance, and optimization.
• Experience developing AI/ML solutions involving:
• Natural Language Processing (NLP)
• Computer Vision
• Object Detection Models
• Prediction and Forecasting Models
• Transformer-based Models
• Artificial Neural Networks (ANN)
• Strong expertise in software architecture, system design, and microservices-based applications.
• Experience with Docker and Kubernetes for containerization and deployment.
• Experience working with AWS and/or Azure cloud platforms.
• Strong communication, stakeholder management, and technical leadership skills.
• Preferred Skills
• Experience working on enterprise-scale AI transformation and modernization programs.
• Knowledge of MLOps, model lifecycle management, and deployment strategies.
• Experience implementing Responsible AI and AI governance frameworks.
• Familiarity with DevOps methodologies and CI/CD pipelines.
• Experience leading and mentoring AI engineering teams.
• Exposure to AI observability, monitoring, and performance optimization practices.
• Strong consulting and customer engagement experience. Qualifications

Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Information Technology, Engineering, Data Science, or a related field.

Relevant Experience Preferred

• Hands-on experience developing and deploying enterprise-scale Generative AI and Agentic AI solutions.
• Experience building Multi-Agent AI platforms for real-world business applications.
• Experience implementing RAG and Agentic RAG architectures using Vector Databases.
• Experience fine-tuning and optimizing open-source LLMs for domain-specific use cases.
• Experience developing NLP, Computer Vision, Object Detection, and Predictive AI solutions.
• Experience designing scalable cloud-native AI applications on AWS and/or Azure.
• Experience driving AI projects from conceptualization and PoC to production deployment.

Interested Candidates Kindly Share Your Resume To:

📩 [email protected]