Customer-Facing AI Deployment Engineer

Kainos

Birmingham

On-site

GBP 55,000 - 78,000

Full time

10 days ago
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Job summary

Kainos is seeking Forward Deployed Engineers for Actonomy to deploy Actonomy Core at client sites, translate business needs into technical deployments, and deliver AI-enabled solutions in real-world settings.

You will collaborate with Product, Engineering and Customer Success teams, learn new technologies, and shape deployment patterns while working directly with customers to realise value from AI.

Qualifications

  • Experience building software, automations or digital solutions.
  • Experience with Python.
  • Interest in AI and emerging technologies.
  • Strong problem-solving skills and curiosity.
  • Ability to communicate effectively with both technical and non-technical audiences.
  • Comfortable working directly with customers and users.

Responsibilities

  • Deploy and configure Actonomy Core within customer environments.
  • Work directly with customers to understand business processes and desired outcomes.
  • Support integration of Actonomy Core with customer systems and data sources.
  • Identify and resolve technical issues during implementation and rollout.
  • Gather user feedback and translate customer needs into product improvements.
  • Collaborate with Product, Engineering and Customer Success teams to improve deployments.
  • Create reusable deployment patterns and implementation assets.
  • Support customer adoption and value realisation activities.
  • Stay up to date with developments in AI, Microsoft technologies and the Actonomy platform.

Skills

Python
AI interest
Customer-facing
Teamwork
Problem solving
Communication
Autonomy

Tools

C#
JavaScript

Job description

Kainos is seeking Forward Deployed Engineers for Actonomy to deploy Actonomy Core at client sites, translate business needs into technical deployments, and deliver AI-enabled solutions in real-world settings.

You will collaborate with Product, Engineering and Customer Success teams, learn new technologies, and shape deployment patterns while working directly with customers to realise value from AI.

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