AI Evangelist (Senior Technology Architect)

Required Experience of architecting and solutioning in Gen AI, Agentic AI, classic ML and automation space Experience and good understanding of Prompt engineering, RAG pipelines, Supervised/ unsupervised Model tuning, MLOps/ LLMOps pipelines, and AI observability Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS etc.). Experience in architecting and scaling GenAI chatbots Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 Hyperscaler Design AI interventions (GenAI, Agentic AI, ML) for application support, monitoring, and business ops. Good understanding of Responsible AI principles Ability to design enterprise level AI/Gen AI platform/solutions with client's existing enterprise stack. Conversant with end-to-end Generative and Agentic AI solutions for enterprise use cases. Design familiarity with multi-agent systems capable of reasoning, planning, and executing tasks autonomously. Evaluate and select appropriate models, frameworks, and orchestration tools. Ability to transform business problems into analytical solutions, fostering cross functional collaboration between various stakeholders like business, data science and engineering and building integrated solutions Strong articulation, stakeholder management and consulting skills Experience working on client proposals - RFI/ RFP/ Orals stages Experience in solution presentations to client stakeholders; conduct demos and workshops. Experience leading team of AI/ software engineers Experience driving productivity and cost optimisations Skills: Python with AI/ML frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain, Langsmith/ Langfuse, Gen AI / Agentic AI, Cloud platforms (Azure AI Foundry, AWS Sagemaker/Bedrock, GCP Vertex AI), MLOps/ LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Preferred Delivered AI projects within Agile frameworks Experience on Model Feedback Analysis, topic modelling, sentiment analysis Knowledge of AgentOps and OpenTelemetry Understanding of Network Security Concepts, Network Telemetry and Analytics Understanding of Cloud computing and Virtualization Exposure to APM/Observability tools (Dynatrace, AppDynamics, Datadog, Splunk etc) Exposure to onshore-offshore model working with professionals spread across the globe Participation in AI events, workshops and summits