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Senior, niche Agentic AI role reduces applicants, but ML popularity and service-company hiring keep competition moderate.
Highly specialized Agentic AI architecture and LLMOps skills limit easy cross-industry transferability.
Explicit 13+ years and extensive mandatory AI/LLM, MLOps, and architecture requirements make shortlisting highly strict.
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Architect and design enterprise-scale Agentic AI and Generative AI solutions with focus on scalable multi-agent systems, autonomous workflows, and human-in-the-loop processes.
Define and implement advanced reasoning frameworks and AI platform capabilities including RAG, Knowledge Graphs, and AI governance.
Lead AI transformation initiatives, workshops, architecture reviews, and mentor technical teams while supporting presales and strategic consulting activities.
13+ years of relevant experience in AI/ML, Data Science, Intelligent Automation, or Generative AI, including enterprise AI architecture and delivery.
Strong programming skills in Python plus at least one of Java, JavaScript/TypeScript, C#, or Go.
Experience with cloud platforms (Azure, AWS, GCP), Kubernetes, containerization, CI/CD, DevSecOps, MLOps, LLMOps, and AgentOps.
Bachelor’s or master’s degree in computer science, Information Technology, or related field.
Deep expertise in Agentic AI, multi-agent systems, autonomous AI workflows, and human-in-the-loop architectures with enterprise deployment experience.
Experienced in evaluating and selecting commercial and open-source LLMs, AI governance, monitoring, and responsible AI implementations.
Skilled in leading cross-functional teams and engaging C-level stakeholders with proven consulting and communication capabilities.