Lead Software Engineer

Faculty is looking for a Lead AI/ML Engineer to set the technical direction for complex AI/ML projects. The successful candidate will lead the delivery of large-scale AI-powered platforms in high-risk environments and define project roadmaps across multiple complex workstreams.

The Public Services Business Unit at Faculty is committed to leveraging AI for the benefit of individual citizens and the public good. The ideal candidate will have experience in leading technical teams and setting technical direction for complex software projects.

Responsibilities:

• Set the technical direction for complex software projects to ensure architectural decisions support long-term product and client goals.
• Drive the development of shared software libraries and microservices that accelerate delivery across multiple client engagements.
• Oversee the delivery of large-scale AI-powered platforms while defining project roadmaps in high-risk environments.
• Facilitate alignment between ML, Data Science, and DevOps crafts to ensure agentic software is built on a reliable foundation.
• Manage and coach a distributed team of engineers, setting development goals that align with organisational growth.
• Establish enterprise-wide standards for code delivery, testing, and system documentation across the software engineering craft.
• Lead hiring processes for the software engineering craft to continue building a world-class technical team.

Requirements:

• Deep expertise across the application lifecycle to set high standards for system integration and end-user software quality.
• Experience in designing large-scale, complex software ecosystems with the authority to justify critical architectural trade-offs in high-stakes environments.
• Ability to define the gold standard for production readiness, establishing application deployment protocols across diverse client engagements.
• Experience in translating high-level commercial strategy into technical roadmaps, ensuring AI work-streams are accurately estimated and seamlessly integrated.
• Architectural direction for the development of products leveraging autonomous AI agents to ensure they are robust and effectively integrated.
• Confident communication skills, capable of conveying complex technical roadmaps and architectural risks to commercial partners and executive leadership.

Benefits:

• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Flexible working arrangements

Interview Process:

1. Talent Team Screen (30 minutes)
2. Introduction to the Hiring Manager (30 minutes)
3. Pair Programming Interview (90 minutes)
4. System Design Interview (90 minutes)
5. Commercial & Leadership Interview (60 minutes)