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Tier-1 brand, metro location, and broad AI/cloud skill requirements increase applicant competition.
ML/AI and cloud skills are transferable across industries, though enterprise banking experience moderately preferred.
Multiple explicit years and technical requirements (AI, cloud, IaC, MLOps) create strict mandatory filters.
Advise leadership on complex technology strategies across applications, network, security, databases, and operating systems.
Lead resolution of complex, large-scale technical challenges with innovative, long-term solutions across the enterprise.
Provide vision and expertise on implementing advanced AI and automation technologies, engaging enterprise-wide stakeholders.
7+ years of engineering experience (work, training, military, or education equivalent).
5+ years hands-on programming/scripting experience (e.g., Java, Python, Shell scripting).
5+ years experience with Infrastructure as Code (Terraform, Crossplane, or equivalent).
5+ years experience with OpenShift, Google Cloud Platform, or Microsoft Azure.
Experienced in enterprise-grade automation design and implementation using tools like Ansible, Harness CD, GitHub Actions, Playwright.
Deep expertise in AI, Generative AI, agentic automation, including experience with LLMs, prompt engineering, vector databases, and orchestration tools.
Strong background in cloud AI platforms (GCP Vertex AI, Azure ML), MLOps, full stack Agentic AI automation frameworks (LangGraph, Crew AI, Microsoft AutoGen, LangChain, Chainlit), and program leadership on complex projects.