Role Summary: Agentic AI – Customer Success / Enablement
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We are looking for a technical, customer‐facing professional with hands‐on experience in Agentic AI who can act as an enabler for clients and internal engineering teams. This role combines customer success, AI/ML fundamentals, and engineering workflows to drive adoption, troubleshooting, and continuous improvement of an internal Agentic AI platform.
Key Responsibilities
Act as a technical enabler for customers adopting Agentic AI, supporting use cases such as agent design, fine‐tuning, debugging, and troubleshooting.
Serve as the first point of contact for engineering teams using the internal Agentic AI platform.
Help clients and internal teams understand, design, fine‐tune, and build AI agents aligned to business and engineering workflows.
Drive adoption and successful implementation of Agentic AI solutions across customer teams.
Provide hands‐on support for issue triage, root‐cause analysis, and escalation when required.
Collaborate closely with product, platform, and engineering teams to relay customer feedback and improve platform usability.
Support architecture reviews, design discussions, and agent discovery conversations.
Contribute to enablement activities including demos, documentation, best practices, and training materials.
Required Experience & Skills
Strong technical background with prior experience in:
Software Engineering, DevOps, QA, or Platform Engineering
2–4 years of experience in Customer Success, Technical Account Management, or a similar customer‐facing role.
Solid understanding of:
Software development life cycle (SDLC)
DevOps workflows and engineering best practices
Foundational knowledge of AI/ML concepts, with a strong interest or hands‐on exposure to Agentic AI systems.
Ability to bridge the gap between engineering teams and customers, translating technical concepts into practical guidance.
Comfortable troubleshooting complex systems and working in fast‐paced, evolving environments.
What Makes This Role Unique
Combines customer success with hands‐on Agentic AI enablement.
Focused on real‐world adoption, not just theory—helping teams successfully use AI agents in production. xqysrnh
High interaction with engineering, platform, and product teams, making it both technical and relationship‐driven.