Senior Software Engineer: AI/Cloud Architect (Remote)

Microsoft

Greater London

On-site

GBP 70,000 - 100,000

Full time

4 days ago
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Benefits offered by this job

Remote work

Job summary

Microsoft, based in London, is seeking a Senior Software Engineer to apply AI across the development lifecycle, building secure, scalable solutions for enterprise customers. The role operates as a full-time remote position with travel allowances up to 25% and requires collaboration with data scientists, product teams, and security partners.

You will lead architecture and delivery of cloud and AI workloads, using CI/CD, automated testing, and observability to ship production-ready solutions

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 6+ years of technical engineering experience with coding in multiple languages.
  • Experience with AI/LLM-based solutions and cloud AI platforms.
  • Familiarity deploying AI systems in production.
  • Willingness to travel up to 25%.

Responsibilities

  • Build secure, enterprise-grade solutions from design through production.
  • Translate business needs into technical solutions with stakeholders.
  • Own end-to-end system design for cloud and AI workloads.
  • Deliver with modern engineering practices (CI/CD, testing, observability).
  • Drive customer success and adoption with production-ready solutions.

Skills

6+ years experience
Code in C/C++/C#/Java/Python
AI/LLM design and deployment
Customer/Stakeholder collaboration
Production security focus

Education

Bachelor's degree in CS or related field

Tools

C#
Java
JavaScript
Python
CI/CD
Cloud
LLM
Security

Job description

Microsoft, based in London, is seeking a Senior Software Engineer to apply AI across the development lifecycle, building secure, scalable solutions for enterprise customers. The role operates as a full-time remote position with travel allowances up to 25% and requires collaboration with data scientists, product teams, and security partners.

You will lead architecture and delivery of cloud and AI workloads, using CI/CD, automated testing, and observability to ship production-ready solutions

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