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Tier-1 employer plus metro location increase competition despite niche GenAI specialization.
Specialized GenAI, LLM, and enterprise compliance skills limit cross-industry transferability moderately.
Explicit 7+ years requirement, mandatory Python and GenAI expertise make shortlist criteria strict.
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Architect and build enterprise-scale Generative AI platforms focusing on reliability, scalability, and security.
Lead development of agentic AI systems including orchestration frameworks, multi-agent workflows, and tool execution layers.
Drive adoption of AI-assisted development tools and define standards and architectures for GenAI solutions while ensuring responsible AI practices and governance.
7+ years of engineering experience or equivalent through work experience, training, military experience, or education.
Strong software engineering and distributed systems architecture expertise with mandatory proficiency in Python.
Proven experience building Generative AI / LLM-based applications and working with agent orchestration frameworks and autonomous systems design.
Hands-on experience with LLM APIs, vector databases, and AI development tools like GitHub Copilot and Claude Code.
Experienced in context engineering, prompt design, memory management architectures, and multi-agent system coordination.
Able to lead end-to-end ownership of GenAI platform components and deliver measurable business impact across global teams.
Familiarity with enterprise AI platform design, MLOps/LLMOps, and secure/compliant AI systems within regulated environments, preferably banking or financial services.