engineering
Posted 2 weeks agoDirector, Forward Deployed Engineering
at scaleai
London, United KingdomOn-site
Responsibilities
- Own delivery for our largest accounts.
- Lead end-to-end execution across our most strategic enterprise customers—scoping engagements, sequencing delivery, removing blockers, and making sharp trade-offs between scope, speed, and quality to drive production adoption.
- Lead and grow the team.
- Identify patterns across engagements and codify them into reusable platform capabilities, playbooks, and building blocks that make the next deployment faster than the last.
- Enforce production excellence.
- Drive the feedback loop into product. Translate field insights into sharp, actionable input for Product and Research, influencing model choices, platform features, and roadmap priorities.
- Own outcomes without waiting to be asked.
Requirements
- At Scale AI, we're not just building AI tools—we're pioneering the next era of enterprise AI.
- The world's largest enterprises are racing to deploy Generative AI into the core of their operations, and Scale is the partner that gets them there.
- You'll lead a team of elite engineers who embed directly with Fortune 500 customers to ship deeply integrated AI agents—owning everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure that make them production-ready.
- You'll own outcomes end-to-end, scale a team that can operate under pressure, and shape how AI adoption actually happens inside the world's biggest enterprises.
- Maintain a deep working understanding of every layer of what we ship—agents, models, evaluations, backend services, data pipelines, and cloud infrastructure—so you can review architectures, debug production issues, and raise the quality bar across every engagement.
- experience , including 3+ years leading high-performing customer-facing engineering teams (Forward Deployed, Solutions Engineering, Applied AI, or similar).
- Proven ability to scale a delivery team.
- Hands-on fluency with the full AI stack.
- Deep familiarity with LLMs and agent systems, evaluation frameworks, backend and API design (Python or TypeScript), data systems (PostgreSQL, DynamoDB, MongoDB, or similar), and cloud infrastructure (AWS, Azure, or GCP) including Kubernetes, Docker, and IaC tooling. •
- Experience deploying AI into complex enterprise environments , including navigating security reviews, identity/SSO, data residency, legacy integrations, and compliance requirements.
- At Scale, our mission is to develop reliable AI systems for the world's most important decisions.
- Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
- We are expanding our team to accelerate the development of AI applications.
Experience
- 10+ years of software engineering or technical delivery
Benefits
- We comply with the United States Department of Labor's Pay Transparency provision .
Contact
- If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.
Additional details
- Our Forward Deployed Engineering team sits at the intersection of customer delivery and core platform development, embedding alongside customers to turn research breakthroughs into production systems that drive measurable business outcomes.
- You'll partner closely with our Forward Deployed and Product teams to make sure we're shipping as efficiently as possible, turning hard-won field lessons into reusable platform capabilities that compound our velocity over time.
- Your success will be measured by how consistently your team ships, how durably those deployments stick, and how clearly the signal from the field sharpens our product roadmap. You Will
- Hire, develop, and retain a world-class team of Forward Deployed Engineers.
- Set the technical bar, establish hiring standards, and build onboarding and career frameworks that let the team scale without losing intensity.
- Work closely with Forward Deployed, Product, and Platform teams to ensure we ship efficiently.
- Forge trusted relationships with senior stakeholders at Fortune 500 customers.
- Translate ambiguous business problems into concrete technical roadmaps with measurable outcomes, and represent Scale at the executive level.
- Set and hold the standard for reliability, security, observability, and evaluation across deployed agents—making sure the systems we ship are genuinely enterprise-ready, not just demo-ready.
- Make sound calls under pressure and model the calm, focus, and judgment the team needs when stakes are high. Ideally You’d Have