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Mid-level AI role with common LLM skills and metro location creates moderate competition.
Transferable ML/AI skills, but Microsoft enterprise integration and domain context moderately reduce portability.
Explicit 2–4 years plus mandatory LLM, RAG, Azure and enterprise integration experience.
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Design, develop, and implement AI and Generative AI solutions to improve business processes and automate workflows.
Build scalable AI applications using cloud AI services, LLMs, and integrate AI capabilities with enterprise systems like ERP, CRM, Microsoft 365, and Power Platform.
Collaborate with stakeholders to prioritize AI use cases, create reusable AI components, and monitor AI solution performance and security.
Bachelor's or Master's degree in Computer Science, AI, Data Science, Software Engineering, IT, or related field.
2 to 4 years of experience in software engineering, AI engineering, solution development, or related technical roles.
Hands-on experience with AI or Generative AI solution design and deployment using cloud platforms like Azure AI, OpenAI, or Microsoft Copilot.
Proficiency in programming languages such as Python, JavaScript, TypeScript, or Power Fx.
Experienced in working with Large Language Models, prompt engineering, RAG architectures, semantic search, and vector databases in enterprise environments.
Capable of building AI-powered applications including intelligent assistants, automation solutions, and chatbots aligned to business needs.
Comfortable collaborating in Agile teams and integrating AI solutions with enterprise platforms and APIs emphasizing AI governance and security.