AI Senior Technology Architect

·         Define and govern enterprise AI architecture including LLMs, RAG, Agentic AI, and Edge AI systems.

·         Establish reference architectures for cloud-native AI, GPU-based inferencing, and distributed workloads.

·         Architect and deploy LLM-powered solutions using RAG, embeddings, vector databases, and orchestration frameworks.

·         Design Agentic AI workflows leveraging tools such as LangChain, LangGraph, Azure AI, and Databricks.

·         Lead AI infrastructure strategy including GPU optimization and high-performance compute environments.

·         Build and scale AI platforms across AWS, Azure, and Google Cloud Platform ecosystems.

·         Lead development of advanced AI/ML models across NLP, computer vision, graph ML, and forecasting domains.

·         Architect Edge AI solutions for low-latency, distributed decision-making systems.

·         Establish governance for responsible AI, security, and compliance.

·         Mentor teams and drive innovation and capability development.

·         15+ years of experience in AI/ML, Data Science, or Technology Architecture.

·         Strong expertise in Generative AI, LLMs, RAG, and Agentic AI systems.

·         Proficient in Python, APIs, microservices, and data engineering frameworks.

·         Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and containerization technologies.

·         Deep understanding of AI infrastructure including GPU optimization and benchmarking.

·         Proven ability to lead large-scale transformation programs.

·         Experience in banking, telecom, healthcare, energy, or supply chain domains.

·         Exposure to Edge AI, O-RAN architectures, and distributed systems.

·         Advanced degree (PhD/Master’s) in AI, Data Science, or related field.

·         Experience in Enterprise adoption of AI platforms and architecture standards.

·         Experience in Scalable deployment of AI solutions delivering measurable outcomes.