Forward Deployed Engineer — Internal AI Enablement
Team: 13014 - Infrastructure
Location: London Office
Commitment: Permanent Full Time Employee
Workplace Type: hybrid
What You'll Do:
- Embed & Solve: Partner directly with departments (Legal, HR, Finance) to identify manual friction and deploy practical AI solutions that solve real-world problems.
- Build & Prototype: Rapidly design and implement AI-enabled workflows, including automated document generation, prompt-driven tools, and internal system integrations.
- Scale Engineering Velocity: Collaborate with developers to adopt AI coding assistants, automate documentation, and reduce friction in the engineering lifecycle.
- Own the AI Stack: Manage the enterprise AI toolkit, overseeing vendor selection, cost monitoring, security compliance, and access provisioning.
- Drive & Measure Adoption: Lead internal workshops and create playbooks to scale AI literacy, ensuring every implementation results in measurable time savings and reduced manual effort.
What We're Looking For:
- Pragmatic Engineer: You are a builder who prioritizes shipping functional tools over theoretical research. You enjoy deconstructing messy operational challenges into clean, technical solutions.
- AI & Automation Proficiency: You have a deep understanding of LLM architectures, prompt engineering, and the AI tooling ecosystem. You’re comfortable working with APIs and middleware to bridge disparate systems.
- Technical Consultant Mindset: You can bridge the gap between non-technical stakeholders and complex workflows. You’re adept at gathering requirements and operating autonomously in ambiguous environments.
- Outcome-Driven: You focus on measurable impact. Success for you is defined by reduced latency in manual processes, high-accuracy automation, and quantifiable time savings for the team.
- Systems Fluency: Whether your background is in Forward Deployed Engineering, Solutions Architecture, or Tech Ops, you bring a product-oriented approach to scaling AI and internal infrastructure.
Why this Roles Matters:
- AI adoption across companies often grows organically and without structure. Without the right enablement: AI usage becomes fragmented, governance risks increase, tool sprawl accelerates, productivity gains plateau
- This role helps transform AI from a collection of tools into a scalable operational capability for the company.
Our Approach:
- Impact-First Scaling: We are starting lean and scaling based on measurable performance. As the first dedicated Forward-Deployed Engineer in our AI Enablement initiative, you will have the unique opportunity to define how AI is adopted across the entire organization.
- Cross-Functional Architecture: You will operate at the intersection of Engineering Productivity, Security, IT, Legal, and Business Operations to ensure AI solutions are secure, compliant, and deeply integrated.
- Operational Edge: Your work won't just be experimental; it will directly influence Aircall’s operational strategy by building the next generation of AI-augmented workflows.
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