Why Join Us
We are seeking an exceptional Software Engineering Manager & Head of AI to lead our engineering function and drive the future of AI within our organisation. This unique role blends technical leadership, strategic AI direction, and people management.
As the Software Engineering Manager, you will lead and develop a high-performing engineering team, ensuring the delivery of secure, scalable, and high-quality software solutions.
As the Head of AI, you will define and execute our AI strategy, positioning us as an industry leader in the application of AI within the Facilities Management (FM) sector. This is a key leadership position with significant organisational impact, suitable for a visionary technology leader who thrives in a fast-paced environment.
What You'll Be Doing
Engineering Leadership
1. Lead, coach, and develop a team of software engineers, focusing on performance, career growth, and wellbeing.
2. Plan, prioritise, and oversee the delivery of engineering work to meet deadlines, quality standards, and budget expectations.
3. Champion and enforce best practices in software development, including coding standards, testing, documentation, and security.
4. Collaborate closely with Product, Architecture, DevOps, and wider business stakeholders to translate business needs into technical solutions.
5. Own technical delivery across assigned products/platforms, managing risks, dependencies, and technical debt.
6. Drive continuous improvement in engineering processes, tooling, and Agile ways of working (e.g., Scrum, CI/CD).
7. Support recruitment, onboarding, and retention of engineering talent.
8. Ensure compliance with UK regulations, data protection laws, and internal governance frameworks.
AI Strategy & Leadership
9. Develop, define, and execute the organisation’s AI strategy, aligned with business objectives and industry evolution.
10. Lead the design, deployment, and integration of AI solutions across the business.
11. Identify opportunities for automation, optimisation, and service excellence through AI and data analytics.
12. Build and lead a multidisciplinary AI team, fostering innovation and continuous learning.
13. Drive change management and user adoption to maximise AI value and measurable business outcomes.
14. Monitor AI system performance and present progress and ROI to executive leadership.
What We're Looking For
15. Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
16. Agile or software delivery certifications (e.g., Scrum Master, SAFe) — desirable.
17. AWS certifications (e.g., Solutions Architect, Developer) — desirable.
18. Leadership or management training — an advantage.
Technical & Professional Experience
19. Proven experience leading and managing software engineering teams in a commercial environment.
20. Strong hands-on development background with expertise in:Frontend: Next.js, React, TypeScript, TailwindBackend: Python, REST APIsInfrastructure: AWS, Azure, Docker, Terraform
21. Extensive experience architecting and operating AWS solutions (EC2, S3, RDS, IAM, VPC, cloud-native patterns).
22. In-depth knowledge of GitHub workflows, branching strategies, repository management, and GitHub Actions (or equivalent CI/CD tooling).
23. Experience with operational tooling such as Atlassian Suite (Jira, Confluence) and PagerDuty.
24. Strong understanding of Agile, DevOps, and cloud-first engineering principles.
25. Proven track record delivering scalable, secure, and reliable systems in distributed, cloud-based environments.
26. Strong understanding of quality engineering, security practices, observability, and performance optimisation.
27. Experience working with cross-functional and distributed teams.
28. Knowledge of UK employment practices and UK GDPR — desirable.
AI Expertise
29. Extensive experience in AI, machine learning, or data analytics in complex environments.
30. Experience delivering AI solutions in the Facilities Management, property, or real estate sectors — highly desirable.
31. Strong knowledge of AI frameworks, relevant programming languages, and cloud AI platforms.
32. Excellent analytical, problem-solving, and strategic thinking skills.
33. Deep understanding of data governance, security, and compliance in AI applications.
Why Join Us?
34. A pivotal role influencing both engineering excellence and AI innovation.
35. The opportunity to shape the future of AI within the FM industry.
36. A supportive, modern engineering culture focused on growth, collaboration, and autonomy.
37. Fully remote role with flexibility and strong organisational support for work-life balance.
Benefits include:
38. Salary: up to £80k maximum depending on experience.
39. Car Allowance: £6,936
40. Private Medical: Couple
41. Up to 20% bonus, depending on performance
42. Electric Vehicle (Lease Scheme)
43. Matched contribution pension scheme of 4.5% up to 6%
44. 25 days annual leave + Bank Holidays.
45. Health Cash Plan & Life assurance
46. Refer a Friend reward scheme
47. Discounts, vouchers, and financial aid programs
48. Funded Training Sponsorship Scheme
At Arcus we are passionate about individual development which is why we are proud to offer industry leading Learning & Development opportunities to all our staff across our organisation
Don’t miss out on this great opportunity, apply today by clicking on the ‘apply’ button.
Requisition ID
2026-8279
Engineering Leadership
49. Lead, coach, and develop a team of software engineers, focusing on performance, career growth, and wellbeing.
50. Plan, prioritise, and oversee the delivery of engineering work to meet deadlines, quality standards, and budget expectations.
51. Champion and enforce best practices in software development, including coding standards, testing, documentation, and security.
52. Collaborate closely with Product, Architecture, DevOps, and wider business stakeholders to translate business needs into technical solutions.
53. Own technical delivery across assigned products/platforms, managing risks, dependencies, and technical debt.
54. Drive continuous improvement in engineering processes, tooling, and Agile ways of working (e.g., Scrum, CI/CD).
55. Support recruitment, onboarding, and retention of engineering talent.
56. Ensure compliance with UK regulations, data protection laws, and internal governance frameworks.
AI Strategy & Leadership
57. Develop, define, and execute the organisation’s AI strategy, aligned with business objectives and industry evolution.
58. Lead the design, deployment, and integration of AI solutions across the business.
59. Identify opportunities for automation, optimisation, and service excellence through AI and data analytics.
60. Build and lead a multidisciplinary AI team, fostering innovation and continuous learning.
61. Drive change management and user adoption to maximise AI value and measurable business outcomes.
62. Monitor AI system performance and present progress and ROI to executive leadership.
63. Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
64. Agile or software delivery certifications (e.g., Scrum Master, SAFe) — desirable.
65. AWS certifications (e.g., Solutions Architect, Developer) — desirable.
66. Leadership or management training — an advantage.
Technical & Professional Experience
67. Proven experience leading and managing software engineering teams in a commercial environment.
68. Strong hands-on development background with expertise in:Frontend: Next.js, React, TypeScript, TailwindBackend: Python, REST APIsInfrastructure: AWS, Azure, Docker, Terraform
69. Extensive experience architecting and operating AWS solutions (EC2, S3, RDS, IAM, VPC, cloud-native patterns).
70. In-depth knowledge of GitHub workflows, branching strategies, repository management, and GitHub Actions (or equivalent CI/CD tooling).
71. Experience with operational tooling such as Atlassian Suite (Jira, Confluence) and PagerDuty.
72. Strong understanding of Agile, DevOps, and cloud-first engineering principles.
73. Proven track record delivering scalable, secure, and reliable systems in distributed, cloud-based environments.
74. Strong understanding of quality engineering, security practices, observability, and performance optimisation.
75. Experience working with cross-functional and distributed teams.
76. Knowledge of UK employment practices and UK GDPR — desirable.
AI Expertise
77. Extensive experience in AI, machine learning, or data analytics in complex environments.
78. Experience delivering AI solutions in the Facilities Management, property, or real estate sectors — highly desirable.
79. Strong knowledge of AI frameworks, relevant programming languages, and cloud AI platforms.
80. Excellent analytical, problem-solving, and strategic thinking skills.
81. Deep understanding of data governance, security, and compliance in AI applications.
Why Join Us?
82. A pivotal role influencing both engineering excellence and AI innovation.
83. The opportunity to shape the future of AI within the FM industry.
84. A supportive, modern engineering culture focused on growth, collaboration, and autonomy.
85. Fully remote role with flexibility and strong organisational support for work-life balance.
Benefits include:
86. Salary: up to £80k maximum depending on experience.
87. Car Allowance: £6,936
88. Private Medical: Couple
89. Up to 20% bonus, depending on performance
90. Electric Vehicle (Lease Scheme)
91. Matched contribution pension scheme of 4.5% up to 6%
92. 25 days annual leave + Bank Holidays.
93. Health Cash Plan & Life assurance
94. Refer a Friend reward scheme
95. Discounts, vouchers, and financial aid programs
96. Funded Training Sponsorship Scheme
At Arcus we are passionate about individual development which is why we are proud to offer industry leading Learning & Development opportunities to all our staff across our organisation
Don’t miss out on this great opportunity, apply today by clicking on the ‘apply’ button.