Overview
As Lead AI/ML Engineer at Faculty, you shape the technical direction of complex AI projects and ensure scalable, production-ready models. You will lead large-scale AI platforms for public sector and high-risk environments, aligning ML, data science, and DevOps to deliver high-value outputs. You’ll mentor a distributed engineering team, establish coding and deployment standards, and translate business strategy into tangible technical roadmaps. This role offers a chance to drive responsible AI initiatives that impact government services and citizen outcomes. You’ll work in a fast-growing, mission-driven environment that values curiosity and impact, with opportunities to influence architecture,
Pay / Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
Responsibilities
- Set the technical direction for complex software projects to support long-term product and client goals
- Drive development of shared libraries and microservices to accelerate delivery across client engagements
- Oversee delivery of large-scale AI-powered platforms in high-risk environments
- Facilitate alignment between ML, Data Science, and DevOps to build reliable software foundations
- Manage and coach a distributed engineering team, aligning development goals with organizational growth
- Establish enterprise-wide standards for code delivery, testing, and system documentation
- Lead hiring processes to build a world-class software engineering team
Key requirements
- Deep expertise across the application lifecycle to set high standards for system integration and end-user software quality
- Ability to design large-scale, complex software ecosystems with authority to justify critical architectural trade-offs in high-stakes environments
- Define production readiness standards and deployment protocols across diverse client engagements
- Translate commercial strategy into technical roadmaps and ensure AI workstreams are accurately estimated and integrated
- Architecturally direct development of products leveraging autonomous AI agents for robustness and integration
- Confident communicator able to convey technical roadmaps and architectural risks to commercial partners and leadership
- Confident communicator
- Leadership and coaching
- Cross-functional collaboration
- AI/ML engineering
- Software architecture for large-scale systems
- Production deployment and reliability
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