Senior Technology Architect AI GenAI Q2 FY 26

The primary responsibility of this role is to lead the strategic design and implementation of enterprise-scale AI GenAI solutions. You will be required to drive architectural decisions across complex AI systems and serve as a trusted advisor to C-suite executives, leading AI transformation initiatives. Your key responsibilities will include developing AI technology adoption strategies, creating AI architecture and roadmap, conducting AI data readiness assessments, designing AI governance frameworks and risk assessments, building GenAI pipeline design and LLM integration architecture, formulating innovation strategies for emerging AI technologies, ensuring understanding of AI ethics and responsible AI practices, managing change for AI adoption across organizations, and delivering technical presentations to diverse stakeholder groups. In terms of technical requirements, you must possess expert level proficiency in Python for AI, be well-versed in AI GenAI libraries frameworks, have experience in production scale LLM implementation and fine-tuning, be skilled in RAG architecture design and vector database optimization, demonstrate expertise in multi-cloud AI services such as AWS Bedrock, Azure, OpenAI, or Vertex AI, have knowledge of Agentic AI systems and multi-agent orchestration, understand enterprise data architecture and distributed systems, be competent in MLOps LLMOps pipeline design and automation, and have experience with microservices and API-first architecture. Additional responsibilities may include obtaining AWS, Azure, GCP AI certifications, showcasing executive communication and presentation skills, possessing industry domain expertise in areas like Healthcare, FinTech, or Manufacturing, demonstrating business acumen and strategic planning capabilities, and having at least 3 years of client-facing advisory experience. Preferred skills for this role include expertise in retrieval augmented generation (RAG), support vector machines, AWS databases, traditional AI/ML solution architecture and design, and proficiency in cloud platforms.,