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Tier-1 brand, metro location, mid-level generalist AI role, and broad skill requirements increase applicant competition.
Core ML/LLM and engineering skills transfer across industries, though healthcare compliance raises moderate domain sensitivity.
Explicit years, mandatory LLM/Agentic AI, Python/SQL and Azure requirements indicate stringent filtering.
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Design, develop, and deploy AI-powered assistants and agentic AI solutions to automate business processes and enhance operational efficiency.
Integrate AI solutions with enterprise systems using APIs, ensuring real-time data access and compliance with security and privacy standards.
Analyze large datasets using SQL and develop monitoring agents for performance tracking and exception alerts.
2+ years of experience in Agentic AI and automation; 3-5 years in analytics or software development.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, IT, or related field.
Strong skills in Generative AI, Large Language Models (LLMs), prompt engineering, SQL, Python, APIs, and system integrations.
Experience with Azure AI Services or other cloud AI platforms and understanding of compliance, security, and responsible AI.
Experience working in analytics, automation, or Global Analytics Center of Excellence environments, indicating familiarity with structured AI implementation.
Ability to translate business processes into AI-driven automation workflows and evaluate AI use cases for business value.
Comfortable operating in cross-functional teams to deliver integrated AI solutions while ensuring governance and quality standards.