Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future, reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what’s possible.
Why Kumaran?
We blend engineering discipline with AI innovation, helping clients modernise with confidence, automate with clarity, and scale with purpose. Our global delivery model ensures agility, responsiveness, and seamless collaboration, with clients always at the heart of every engagement. At Kumaran, we don’t just solve problems, we engineer future-ready transformations.
Role Overview
We are looking for a highly experienced Senior AI Solutions Architect / AI Lead to design and deliver advanced AI and Generative AI solutions for complex business problems. This role requires strong expertise in multi-agent AI architectures, GenAI frameworks, and production-grade AI systems.
The ideal candidate will lead the end-to-end lifecycle of AI solutions—from stakeholder discussions and conceptualization to Proof of Concept (PoC), architecture design, and deployment at scale. The role also involves supporting pre-sales activities, guiding engineering teams, and ensuring solutions are robust, scalable, and production-ready.
Work Location: Chennai (Hybrid) – 3 days at office and 2 days at home (11 AM – 8 PM)
Key Responsibilities
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Own and drive AI solution architecture and delivery from stakeholder engagement and ideation through PoC development and full-scale production deployment.
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Collaborate with business stakeholders to understand requirements, identify opportunities, and design AI-driven solutions.
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Rapidly build Proof of Concepts (PoC) and feasibility prototypes to validate technical approaches and business value.
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Support pre-sales initiatives, including solution proposals, architecture presentations, and customer engagements.
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Design and produce technical solution artifacts such as architecture documents, design specifications, and implementation guidelines.
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Lead engineering teams to build, scale, and productionize AI solutions using modern AI/ML frameworks and cloud platforms.
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Establish best practices for AI system architecture, governance, monitoring, and evaluation.
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Drive innovation by tracking emerging AI/ML technologies and integrating relevant advancements into solutions.
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Mentor technical teams and ensure the adoption of scalable, maintainable, and high-quality engineering practices.
Key Skills & Technical Expertise
AI & Generative AI
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Hands-on experience designing and developing Multi-Agent AI systems to solve complex business problems.
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Experience with Agent frameworks and protocols including Agent SDK, A2A (Agent-to-Agent), and MCP (Model Context Protocol).
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Expertise in Generative AI solution architecture, including:
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Retrieval-Augmented Generation (RAG)
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Agentic RAG
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Vector Databases
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Agentic Patterns (Planner, Orchestrator, Tool Use, Multi-Agent Collaboration)
Large Language Models
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Experience with fine-tuning and customizing LLMs such as Mistral, Ollama-based models, or similar open-source models using domain-specific datasets.
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Strong understanding of prompt engineering, LLM optimization, and evaluation frameworks.
AI System Evaluation & Operations
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Experience in designing evaluation frameworks and AgentOps pipelines for monitoring, optimizing, and managing Agentic AI systems in production.
Machine Learning & Deep Learning
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Experience building and training Artificial Neural Networks (ANNs) for:
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Natural Language Processing (NLP)
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Computer Vision
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Predictive modeling
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Hands-on experience with Object Detection models, Transformer architectures, and predictive ML models.
Software Engineering & Infrastructure
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Strong Python development and system design expertise.
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Experience building scalable microservices architectures.
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Hands-on experience with Docker and Kubernetes for containerization and orchestration.
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Experience deploying and managing AI workloads on cloud platforms such as AWS or Azure
Education: Any Graduate / Post Graduate in Engineering degree or equivalent
Kumaran Systems is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.
