Role Overview<\/span><\/span><\/b> <\/span><\/span>
<\/p>We are looking for a highly experienced Senior AI\nSolutions Architect / AI Lead<\/b> to design and deliver advanced AI and\nGenerative AI solutions<\/b> for complex business problems. This role requires\nstrong expertise in multi\-agent AI architectures, GenAI frameworks, and\nproduction\-grade AI systems<\/b>.<\/span><\/span>
<\/p>The ideal candidate will lead the end\-to\-end\nlifecycle of AI solutions<\/b>\u2014from stakeholder discussions and\nconceptualization to Proof of Concept (PoC), architecture design, and\ndeployment at scale. The role also involves supporting pre\-sales activities<\/b>,\nguiding engineering teams, and ensuring solutions are robust, scalable, and\nproduction\-ready.<\/span><\/span>
<\/p>Work Location: Chennai (Hybrid) \u2013 3 days at office\nand 2 days at home (11 AM \u2013 8 PM)<\/span><\/span>
<\/p>Key Responsibilities<\/span><\/span><\/b>
<\/p>- Own\n and drive AI solution architecture and delivery<\/b> from stakeholder\n engagement and ideation through PoC development and full\-scale production\n deployment.<\/span><\/span>
<\/li>- Collaborate\n with business stakeholders to understand requirements, identify\n opportunities, and design AI\-driven solutions<\/b>.<\/span><\/span>
<\/li>- Rapidly\n build Proof of Concepts (PoC) and feasibility prototypes<\/b> to\n validate technical approaches and business value.<\/span><\/span>
<\/li>- Support pre\-sales initiatives<\/b>, including solution proposals, architecture\n presentations, and customer engagements.<\/span><\/span>
<\/li>- Design\n and produce technical solution artifacts<\/b> such as architecture\n documents, design specifications, and implementation guidelines.<\/span><\/span>
<\/li>- Lead\n engineering teams to build, scale, and productionize AI solutions<\/b> using modern AI/ML frameworks and cloud platforms.<\/span><\/span>
<\/li>- Establish\n best practices for AI system architecture, governance, monitoring, and\n evaluation<\/b>.<\/span><\/span>
<\/li>- Drive\n innovation by tracking emerging AI/ML technologies and integrating\n relevant advancements into solutions<\/b>.<\/span><\/span>
<\/li>- Mentor\n technical teams and ensure the adoption of scalable, maintainable, and\n high\-quality engineering practices<\/b>.<\/span><\/span>
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<\/div>Key Skills & Technical Expertise<\/span><\/span><\/b>
<\/p>AI & Generative AI<\/span><\/span><\/b>
<\/p>- Hands\-on\n experience designing and developing Multi\-Agent AI systems<\/b> to solve\n complex business problems.<\/span><\/span>
<\/li>- Experience\n with Agent frameworks and protocols<\/b> including Agent SDK, A2A\n (Agent\-to\-Agent), and MCP (Model Context Protocol)<\/b>.<\/span><\/span>
<\/li>- Expertise\n in Generative AI solution architecture<\/b>, including:<\/span><\/span>
<\/li>- Retrieval\-Augmented\n Generation (RAG)<\/span><\/span>
<\/li>- Agentic\n RAG<\/span><\/span>
<\/li>- Vector\n Databases<\/span><\/span>
<\/li>- Agentic\n Patterns (Planner, Orchestrator, Tool Use, Multi\-Agent Collaboration)<\/span><\/span>
<\/li><\/ul><\/ul>Large Language Models<\/span><\/span><\/b>
<\/p>- Experience\n with fine\-tuning and customizing LLMs<\/b> such as Mistral,\n Ollama\-based models<\/b>, or similar open\-source models using\n domain\-specific datasets.<\/span><\/span>
<\/li>- Strong\n understanding of prompt engineering, LLM optimization, and evaluation\n frameworks<\/b>.<\/span><\/span>
<\/li><\/ul>AI System Evaluation & Operations<\/span><\/span><\/b>
<\/p>- Experience\n in designing evaluation frameworks and AgentOps pipelines<\/b> for\n monitoring, optimizing, and managing Agentic AI systems in production.<\/span><\/span>
<\/li><\/ul>Machine Learning & Deep Learning<\/span><\/span><\/b>
<\/p>- Experience\n building and training Artificial Neural Networks (ANNs)<\/b> for:<\/span><\/span>
<\/li>- Natural\n Language Processing (NLP)<\/span><\/span>
<\/li>- Computer\n Vision<\/span><\/span>
<\/li>- Predictive\n modeling<\/span><\/span>
<\/li><\/ul>- Hands\-on\n experience with Object Detection models, Transformer architectures, and\n predictive ML models<\/b>.<\/span><\/span>
<\/li><\/ul>Software Engineering &\nInfrastructure<\/span><\/span><\/b>
<\/p>- Strong Python development and system design expertise<\/b>.<\/span><\/span>
<\/li>- Experience\n building scalable microservices architectures<\/b>.<\/span><\/span>
<\/li>- Hands\-on\n experience with Docker and Kubernetes<\/b> for containerization and\n orchestration.<\/span><\/span>
<\/li>- Experience\n deploying and managing AI workloads on cloud platforms such as AWS or\n Azure<\/b><\/span><\/span>
<\/li><\/ul>Education: Any Graduate / Post Graduate in Engineering degree or equivalent<\/span><\/span><\/b>
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