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Tier-1 brand and metro locations increase applicant density, but senior leadership level reduces mid-level competition.
Highly specialized Agentic AI and enterprise SDLC integration needs limit transferability across unrelated industries.
Explicit 12–15 years requirement plus deep ML, platform, and enterprise integration skills make filtering stringent.
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Lead design, build, and operationalization of Agentic AI solutions to enhance software engineering productivity, quality, and automation across SDLC workflows.
Define and implement technology roadmap and reusable Agentic AI frameworks integrating with core engineering platforms such as GitHub, Jira, CI/CD tools, and observability systems.
Provide technical leadership and mentoring across engineering teams, measure AI adoption impact via metrics like productivity improvement, defect reduction, and deployment frequency.
12 to 15 years of relevant experience in software engineering or AI engineering roles.
Mandatory strong hands-on experience with Generative AI, Large Language Models, and Agentic AI frameworks (e.g., LangChain, Microsoft Semantic Kernel).
Proven expertise in integrating AI agents across SDLC workflows and engineering tools (GitHub, Jira, CI/CD pipelines).
B.Tech/BE degree; location flexibility in Chennai, Bangalore, or Pune with willingness to travel for business.
Senior technical leader with deep expertise in AI-driven software engineering solutions and end-to-end SDLC automation.
Experienced in driving enterprise-grade AI solution architecture and adoption at scale, including security, compliance, and governance.
Strong programmer with cloud platform experience (Azure, AWS, or GCP) able to build production-grade AI integrations and mentor cross-functional teams.