AI Solutions Architect

Kumaran Systems has delivered enterprise technology services since 1992 across banking, financial services, insurance, telecom, automotive and public-sector environments. The company describes its current engineering direction as cloud transformation, automation-first delivery and GenAI-enabled modernization. This is a full-time India role on a current first-party Zoho Recruit detail page. The application page exposes a role-specific public form with first name, last name, email, mobile, address, professional experience, education, skills and resume controls; sign-in is optional through a separate easy-apply control. Kumaran Systems states that it is an equal opportunity employer. The AI Solutions Architect owns AI solutions technically from stakeholder discovery and conceptualization through proof of concept and production. The architect validates feasibility, supports presales with sound solution design, creates technical artifacts, guides delivery teams to production maturity and keeps designs aligned with current AI technology. Required experience includes multi-agent AI system design using agent SDKs, agent-to-agent patterns and model-context protocols; generative-AI solutions such as RAG, agentic RAG, vector databases, orchestration and planning patterns; fine-tuning models such as Mistral and Ollama on domain data; and evaluation and AgentOps for agentic systems. The role also expects experience training neural networks for NLP and computer-vision problems, including object detection, transformers and predictive models. Strong Python system design, microservices, Docker, Kubernetes and AWS or Azure are important. The architect must translate business problems into production-grade, observable and secure AI platforms while leading technical decisions and communicating design trade-offs.