Agent Deployment Manager
Leads end-to-end deployment of AI agents into enterprise environments, scopes customer use cases, configures and tests systems, and manages incidents via on-call rotation. Requires 3-5 years in SaaS implementation and hands-on LLM experience.
About the job
Responsibilities
- Manage the full deployment lifecycle of AI Operators, from kick-off to go-live, with enterprise customers
- Partner with customers to understand business processes, scope requirements, and align on deployment goals and success criteria
- Coordinate configuration, testing, and validation of Operators using internal tools and prompt design frameworks
- Collaborate cross-functionally with Product, Engineering, and AI teams to resolve edge cases and ensure long-term success
- Participate in a 24/7 on-call rotation, coordinating responses to critical customer-facing incidents
- Act as a first responder during incidents, taking ownership of investigation and coordination
- Contribute to improving deployment playbooks, escalation processes, and operational readiness
Requirements
- 3–5 years of experience in solution delivery, implementation or technical project management in a B2B SaaS environment
- At least 1 year of hands-on experience working with LLMs, including a solid understanding of agent behaviour, prompt iteration, and system constraints
- Ability to map complex workflows into structured logic and work closely with technical teams to implement them effectively
- Strong communication and organisational skills to conduct customer meetings, manage timelines, and drive execution
- A strong sense of ownership to track results, and ensure nothing falls through the cracks
- Background in Data Science, Computer Science, Engineering, or another STEM field, or equivalent relevant practical experience
Nice-to-Haves
- Hands-on coding or scripting experience with Python, React, and TypeScript
- Experience deploying AI-powered tools, chat-based interfaces, or automation products
- Delivered projects in fintech, insurance, banking, or other regulated industries
- Comfortable operating in high-ambiguity, fast-moving environments
Skills
LLMs, Prompt Engineering, Python, React, TypeScript, AI Agents, Saas Deployment, Technical Project Management, Workflow Automation, Incident Management
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