AI Engineering Head

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description

The Head of Engineering leads the technical execution of Globe's AI Engineering strategy, overseeing the development, delivery, and operations of AI-driven backend systems, platforms, and reusable modules across multiple product lines. This role is responsible for driving engineering excellence, ensuring architectural cohesion, and cultivating a high-performance engineering culture.

The ideal candidate combines deep technical leadership with strategic vision—balancing speed, scalability, and security—while mentoring cross-functional teams and interfacing with stakeholders to deliver impactful AI-powered products and platforms.

DUTIES AND RESPONSIBILITIES:

1. Technical Strategy & Execution

2. Define and execute the AI Engineering roadmap aligned with business and platform strategy.

3. Oversee the architecture, design, and development of scalable AI services, APIs, and infrastructure.
4. Apply modern engineering practices where available and collaboratively establish and evolve practices where gaps exist.

5. Apply modern engineering practices including DevOps, CI/CD, SRE, and IaC where available and collaboratively establish and evolve practices where gaps exist.

6. Engineering Leadership

7. Lead and mentor a multidisciplinary engineering team (backend, cloud, AI, data, fullstack).

8. Champion code quality, documentation, testing standards, and system reliability.

9. Foster a growth-oriented engineering culture with knowledge-sharing, innovation, and technical excellence.

10. Platform & Systems Architecture

11. Ensure architectural alignment across backend systems, AI workloads, and cloud infrastructure.

12. Drive the adoption of reusable components, standard patterns, and platform scalability best practices.

13. Oversee performance monitoring, capacity planning, and optimization of high-throughput systems.

14. AI & Data System Integration

15. Collaborate with AI scientists, product teams, and architects to productionize models and pipelines.

16. Ensure data infrastructure supports AI training, inference, and real-time use cases effectively.

17. Champion observability, model governance, and ethical AI usage within engineering systems.

18. Security, Compliance & Operations

19. Embed security-by-design principles in all engineering efforts.

20. Ensure compliance with regulatory standards (e.g., GDPR, HIPAA) and internal governance policies.
21. Drive incident response readiness, disaster recovery planning, and operational resilience.
22. Strengthen AI governance by championing observability, model governance, and the use of ethical AI, aligning with company values and security standards.

KPIs:

• Engineering velocity and delivery cadence (e.g., sprint throughput, release frequency)
• Platform/system uptime and operational reliability
• Model accuracy, adherence to business requirements and general AI system performance
• Code quality, security audit scores, and technical debt reduction
• Stakeholder and cross-functional team satisfaction

TOP 3-5 DELIVERABLES:

Unified Engineering Roadmap and Governance Framework

Scalable AI Platform Architecture and Component Library

High-performing, reliable backend and data systems powering AI models

Team Capability Growth & Mentorship Programs

Security, Observability, and Operational Runbooks

QUALIFICATIONS:

Education

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical fields (or equivalent experience).

Experience

• 10+ years of proven experience in engineering with significant expertise in AI system architecture and design.
• Extensive experience building scalable, high-performance systems in cloud environments (AWS, GCP, Azure).
• Demonstrated leadership in technical strategy, architecture planning, and execution.

Equal Opportunity Employer

Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.

Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed

here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.