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Tier-1 employer and Bangalore location increase competition, but specialized agentic/LLM skills narrow candidate pool.
Requires specialized LLM, Azure MLOps, and production AI experience, limiting cross-industry transferability.
Extensive mandatory LLM, Azure MLOps, Python, and production governance requirements raise shortlisting strictness.
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Design, develop, and deploy enterprise-scale AI/ML, Generative AI, and Agentic AI solutions that enhance business value and operational efficiency.
Architect scalable AI platforms and cloud-native solutions using Azure Public Cloud services and MLOps best practices.
Develop robust APIs, automation frameworks, establish AI engineering standards, and collaborate with stakeholders to deliver high-impact AI use cases.
Bachelor's degree in Computer Science or a related field.
Experience developing and deploying AI/ML, Generative AI, and Large Language Model (LLM) solutions.
Proficiency with Python and modern AI frameworks like LangChain, Semantic Kernel, PydanticAI, or similar.
Experience with Azure Public Cloud, Azure OpenAI, MLOps, CI/CD pipelines, containerization, and cloud-native architectures.
Experienced in building AI solutions integrating Large Language Models, Retrieval-Augmented Generation, and AI Agents at enterprise scale.
Able to lead AI innovation and standard setting, mentoring engineers, and driving adoption across multiple teams.
Skilled in scalable AI platform architecture and collaborating effectively with product, engineering, and business stakeholders.