Lead Forward Deployed Engineer

Faculty is looking for a Lead Forward Deployed Engineer to spearhead the technical direction and delivery of complex, innovative AI projects.

As a Lead Forward Deployed Engineer, you will act as a technical expert, applying your skills across various projects from AI strategy to client-side deployments, while ensuring architectural decisions are sound and reliable.

The role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation.

Responsibilities:

• Setting the technical direction for complex ML projects, balancing trade-offs, and guiding team priorities.
• Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions.
• Defining project problems, developing roadmaps, and overseeing delivery across multiple work-streams in often ill-defined, high-risk environments.
• Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them.
• Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth.
• Proactively developing and executing recommendations for adopting new technologies and changing our ways of working to stay ahead of the competition.
• Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders.

Requirements:

• You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem.
• You possess strong Python skills and practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch.
• You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications.
• You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes.
• You can successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery.
• You find novel, clever solutions for project delivery and take ownership for successful project outcomes.
• You're an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders.

Benefits:

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

Interview Process:

1. Talent Team Screen (30 minutes)
2. Introduction to the role (45 minutes)
3. Pair Programming Interview (90 minutes)
4. System Design Interview (90 minutes)
5. Commercial & Leadership Interview (60 minutes)