AI Solutions Architect

As an AI Solutions Architect, you will play a crucial role in transforming complex business challenges into intelligent and scalable AI solutions. Your responsibilities will include: - Designing end-to-end AI/ML architectures for enterprise use cases - Translating business requirements into technical plans, prototypes, and scalable systems - Collaborating closely with engineering, analytics, and product teams to deliver AI-powered features - Leading solution design for LLMs, RAG systems, predictive models, and automation workflows - Evaluating tools, frameworks, and cloud services (AWS/Azure/GCP) for best-fit design - Creating documentation, solution blueprints, and best practices - Supporting deployment, optimization, and monitoring of production AI systems - Collaborating with clients/stakeholders to define scope, roadmap & KPIs Qualifications required for this role include: - 5-8+ years of experience in AI/ML, data engineering, or solution architecture - Strong understanding of LLMs, vector databases, transformers, and MLOps - Hands-on experience with Python & ML frameworks (TensorFlow, PyTorch, HuggingFace) - Experience architecting cloud-native AI systems (AWS, Azure, or GCP) - Ability to break down complex problems into structured, scalable technical solutions - Strong communication and stakeholder management skills Additionally, bonus skills that would be good to have include: - Experience with LangChain / LlamaIndex - Designing RAG-based enterprise chatbots or AI agents - Experience with DevOps tools (Docker, Kubernetes, MLflow) - Background in data analytics, BI, or real-time data platforms Joining us will provide you with the opportunity to work on impactful AI innovations that are shaping the future of analytics. You will have the freedom to explore new technologies, frameworks, and architectures in a collaborative and fast-moving product environment. Moreover, you will have the chance to influence AI strategy across the organization.,