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Recognizable brand, metro location, and broad AI integration requirements increase candidate competition.
Specialized LLM, LangChain and Azure AI experience increases domain specificity but remains industry-transferable.
Explicit 6+ years, 2+ years AI integration, and preferred Azure certifications tighten shortlisting filters.
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Design and implement end-to-end architecture for AI systems including Agentic AI, Chatbots, and Voice-enabled solutions integrated into web and mobile applications.
Define AI infrastructure requirements (GPU/CPU, vector databases, scalable storage) and lead API-driven microservices architecture using REST/GraphQL for modularity and high availability.
Act as liaison between Data Engineering and Application teams to ensure seamless AI/ML integration, enforcing security, privacy, and compliance frameworks.
6+ years in technical leadership or architectural role with minimum 2 years focused on AI/Data Science integration.
Bachelor's or Master's degree in Computer Science, Data Science, or related field.
Proven expertise with cloud platforms, especially Azure AI services and deployment (Azure App Service, AKS).
Preferred Azure certifications: AZ-305 Solutions Architect Expert, Azure AI Engineer Associate, or Agentic AI Business Solutions Architect.
Experienced in designing scalable AI architectures combining Data Science and application development with strong cross-team alignment skills.
Proficient in programming languages like .Net or Python and JavaScript frameworks (React, Node JS).
Hands-on with AI autonomous agents frameworks such as LangChain, AutoGPT, or CrewAI and implementing CI/CD using Github actions.