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Senior, niche Agentic AI role reduces applicant pool but still attracts experienced candidates.
High because deep Agentic AI, LLM, and enterprise AI architecture expertise is required and not easily transferable.
High due to explicit 13+ years and many mandatory Agentic AI, LLM, cloud, and MLOps requirements.
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Architect and design enterprise-scale Agentic AI and Generative AI solutions, including multi-agent collaboration and autonomous workflows.
Establish AI engineering best practices, governance, observability, and scalable AI platforms for enterprise-wide agentic workloads.
Lead AI transformation initiatives, technical workshops, solution assessments, presales activities, and mentor technical teams.
13+ years of experience in AI/ML, Data Science, Intelligent Automation, or Generative AI with enterprise-scale AI solution delivery.
Strong expertise in Agentic AI, multi-agent systems architecture, LLM application frameworks, and programming in Python plus one additional language (Java, JavaScript/TypeScript, C#, or Go).
Experience with cloud platforms (Azure, AWS, or Google Cloud), Kubernetes, containerization, CI/CD, DevSecOps, MLOps, LLMOps, and AgentOps.
Bachelor’s or master’s degree in computer science, Information Technology, or related field.
Experienced in designing and implementing autonomous AI workflows, advanced reasoning frameworks, and knowledge systems with scalable enterprise architectures.
Skilled in consulting, stakeholder management, technical leadership in AI architecture, presales, and driving AI adoption across enterprises.
Familiar with AI governance, security, evaluation frameworks, and integrating AI solutions into cloud-native and microservices environments.