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Metro Bengaluru and generic senior engineer title increase competition; AI champion focus moderately filters applicants.
DevOps and AI automation skills are broadly transferable across industries, enabling low background sensitivity.
Mandatory 10 years plus AI, automation, and deployment expertise makes shortlisting highly strict.
Design, develop, and maintain high-quality, scalable software with minimal supervision, including troubleshooting and debugging complex issues.
Lead the application of AI in internal software deployment platforms to automate deployment processes and ensure reliable releases.
Champion AI adoption by creating training materials, workshops, and playbooks for software engineering teams and business stakeholders.
Bachelor's degree.
Minimum 10 years of professional experience.
Deep experience with low code/no code AI solutions.
Experience with delivery, automation, ML or generative-AI products.
Experienced in product management, digital product ownership, innovation consulting, or business transformation contexts.
Skilled in identifying and developing reusable AI patterns and use cases to improve software development efficiency.
Proven track record in leading adoption, training, or communities of practice related to AI solutions and process improvement.