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Tier-1 brand plus mid-level experience and metro location drive high applicant competition.
Highly specialized Generative AI, MLOps, and platform engineering needs limit cross-industry transferability.
Explicit multi-year requirements, managerial responsibility, and mandatory Generative AI/MLOps/AWS tech stack raise strictness.
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Lead design, development, and troubleshooting of AI/ML software solutions ensuring security, scalability, and high performance.
Manage and mentor engineering teams, conduct performance reviews, and foster adoption of enterprise AI-assisted development practices.
Drive implementation of Gen AI platform engineering, including LLM fine tuning, multi-agent orchestration, and AI-assisted SDLC automation to improve delivery speed and quality.
5+ years applied software engineering experience with formal training or certification.
2+ years experience leading technologists on complex technical issues in relevant domain.
5+ years managing teams experience.
Strong hands-on experience with Python, AWS cloud services (EKS, EMR, ECS), and AI/ML lifecycle development.
Experienced in advanced Generative AI technologies and AI platform engineering with proven leadership in multi-team environments.
Skilled at implementing and governing enterprise AI-assisted engineering workflows with emphasis on responsible AI use and secure data handling.
Operational focus on scaling software delivery efficiency, quality, and security through automation and adoption of best practices in MLOps and software development lifecycle.