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Medium because strong brand and Bangalore location, but niche AI stack and specific tooling reduce applicant density.
High because specialized Agentic AI, LangChain, voice/NLP and Azure deployment skills limit straightforward cross-industry transfer.
High due to explicit 6+ years requirement, Azure/AI certifications, and mandatory LangChain/agent and architecture skills.
Design and implement end-to-end architecture for Agentic AI systems, Chatbots, and Voice-enabled solutions integrated into web and mobile applications.
Define infrastructure requirements and oversee API-first microservices architecture ensuring modularity, scalability, and high availability.
Lead alignment between Data Engineering and Application teams to ensure cohesive AI solution flows with robust security and compliance.
6+ years in a technical leadership or architectural role, with at least 2 years focused on AI/Data Science integration.
Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
Proficiency in programming languages such as .Net or Python, and frameworks like React and Node JS.
Azure Certifications such as AZ-305, Azure AI Engineer Associate, or Agentic AI Business Solutions Architect.
Experienced in integrating advanced AI/ML models (e.g., LangChain, AutoGPT, CrewAI) into production environments with hands-on cloud deployment on Azure.
Strong cross-functional leadership skills to bridge Data Engineering and Application development teams for seamless AI workflow implementation.
Skilled in designing secure AI architectures compliant with data privacy laws and capable of managing API-driven microservices.