We are looking for a visionary AI Senior Technology Architect to lead enterprise-scale AI transformation initiatives. This role requires deep expertise in Generative AI, Agentic AI systems, AI infrastructure, and cloud-native architectures, with a strong focus on delivering scalable, high-performance AI solutions and driving business impact.
This role is critical to driving AI-first enterprise strategy, enabling next-generation capabilities through Agentic AI, LLM ecosystems, and edge intelligence while delivering measurable business value.
· 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.
Preferred Qualifications & Experience
· 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.
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