Agent Deployment Manager

Eloquent AI, Inc.; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading AI technology firm in the United Kingdom is looking for an FAgent Deployment Manager to lead the deployment of AI Agents in enterprise settings. The role includes managing customer deployment lifecycles, coordinating configurations, and driving successful project outcomes. Candidates should have 3–5 years of B2B SaaS experience, solid LLM skills, and coding proficiency in Python, React, and TypeScript. The position is offered as a full-time role with remote work options.

Qualifications

• 3–5 years experience in solution delivery or technical project management in B2B SaaS.
• 1 year hands-on experience with LLMs and understanding of agent behaviour.
• Strong communication and organisational skills with a sense of ownership.

Responsibilities

• Lead full deployment lifecycle of AI Operators with enterprise customers.
• Coordinate configuration and validation of Operators using internal tools.
• Participate in a 24/7 on-call rotation for critical customer incidents.

Skills

Solution delivery

Technical project management

Communication

Organisational skills

Coding with Python

Experience with LLMs

Education

Degree in Data Science, Computer Science, Engineering or relevant field

Tools

React

TypeScript

Job description

Location

London

Employment Type

Full time

Location Type

Remote

Department

Deployment

Your Role

As an FAgent Deployment Manager at Eloquent AI, you’ll be responsible for leading the end‑to‑end deployment of our AI Agents and Operators into enterprise environments. You’ll work directly with customers to scope use cases, manage configurations, monitor performance, and ensure successful go‑lives.

What You’ll Do

• 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, even when issues extend beyond your immediate area of expertise, by engaging the right teams and driving resolution end‑to‑end.
• Contribute to improving deployment playbooks, escalation processes, and operational readiness over time.

What You’ll Bring

• 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.
• A background in Data Science, Computer Science, Engineering, or another STEM field, or equivalent relevant practical experience in a technical or engineering role.
• Hands‑on coding or scripting experience with Python, as well as React and TypeScript, and are comfortable reading and working alongside production code.
• 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 where customer impact and reliability come first.