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Tier-1 brand, metro location, and broad platform skill requirements increase applicant competition.
Platform and cloud skills are transferable but responsible-AI and enterprise banking context raise domain specificity.
Explicit 14+ years requirement and deep mandatory platform/cloud expertise enforce strict shortlisting.
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Provide technical guidance and direction to business teams, contractors, and vendors within AI/ML & Data Platforms.
Develop, review, and debug secure, high-quality production code in Python and AWS cloud-native solutions.
Drive adoption and governance of AI-assisted engineering practices across the Software Development Life Cycle to improve code quality and operational outcomes.
14+ years of applied software engineering experience with formal training or certification.
Hands-on experience in Python API development and AWS cloud-native solutions.
Experience with SaaS platform engineering and MCP development.
Work Experience Required: 14+ years.
Experienced leader capable of independently solving complex design and functionality challenges with minimal oversight.
Deep expertise in cloud, AI, and machine learning technologies combined with practical knowledge of software development toolchains.
Demonstrated ability to lead enterprise-wide adoption of AI-assisted software development tools, ensuring responsible AI use and compliance within engineering workflows.