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Tier‑1 brand plus niche senior AI focus yields moderate candidate competition.
ML, MLOps and cloud skills transferable across industries, though banking compliance raises specialization.
Multiple explicit years, advanced AI, cloud and IaC requirements indicate stringent technical filters.
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Advise leadership on complex technology solutions across multiple domains including applications, security, networks, and databases.
Lead strategy and resolution of highly complex enterprise challenges requiring innovation and long-term vision.
Provide expertise and direction for implementing significant business technology solutions and maintain knowledge of industry best practices and emerging technologies.
7+ years of engineering experience (work experience, training, military experience, or education equivalent).
5+ years hands-on programming/scripting experience in Java, Python, Shell scripting, or similar.
5+ years experience with Infrastructure as Code (e.g., Terraform, Crossplane) and container/cloud platforms (OpenShift, GCP, Azure).
2+ years experience in AI, Generative AI, Agentic automation, including building Agentic AI Automation solutions and experience with AI platforms and ML frameworks.
Experienced in leading large-scale, enterprise-wide technology projects involving AI/ML and cloud-native architectures.
Strong technical proficiency in AI/ML frameworks (TensorFlow, PyTorch), cloud AI platforms (GCP Vertex AI, Azure ML), and MLOps.
Skilled in building full stack Agentic AI systems using frameworks like LangGraph, Microsoft AutoGen, LangChain, with ability to advise leadership strategically.