Senior Forward Deployed Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Forward Deployed Engineer (AI): Guiding complex enterprise customers through deployment, architecture, onboarding, and adoption of agentic AI development workflows with an accent on cloud infrastructure, Kubernetes, and scalable patterns. Focus on designing reference architectures, implementing organizational changes, and driving end-to-end customer outcomes in ambiguous environments.
Remote (United Kingdom)
£97K – £131K • Offers Equity • Offers Bonus
Company
is an AI software development company leading autonomous coding through secure, self-hosted AI development environments that enable AI agents and human developers to collaborate at scale.
What you will do
- Serve as primary technical authority for post-sales customers, guiding deployment architecture, environment design, and adoption of for human and AI workflows.
- Own end-to-end onboarding engagements to ensure rapid productive adoption.
- Lead complex engagements addressing architecture, rollout patterns, and organizational challenges.
- Design and document repeatable delivery patterns for onboarding, architecture, and adoption across customer segments.
- Recommend tailored reference architectures for cloud environments, security, and constraints; translate complexity into guidance on networking, ingress, identity, and infrastructure.
- Anticipate risks, escalate issues, contribute to documentation and resources, and advocate product feedback to engineering teams.
Requirements
- 5+ years in Forward Deployed Engineering, Solutions Architect, Platform Engineering, or equivalent post-sales role with enterprise deployment track record.
- Hands-on experience designing/deploying cloud infrastructure on AWS, Google Cloud, or Azure.
- 2+ years production Kubernetes experience: cluster design, networking, storage, operations.
- 2+ years Terraform or IaC tooling; enterprise-scale structure and maintenance.
- Solid Linux admin, networking (ingress, proxies, load balancers, DNS), CI/CD, DevOps practices.
- Cloud security/identity (IAM, segmentation, secrets), observability (logging, metrics, tracing), AI tooling (coding agents, infrastructure).
- Strong communication, customer empathy, autonomy in startup environment.
Nice to have
- Experience at startups and larger orgs; prior Software/DevOps/Platform Engineer role.
- Regulated environments (air-gapped, SOC 2, GDPR); disaster recovery, cost optimization, Tailscale.
- Kubernetes certs (CKA/CKAD/CKS); open-source, Backstage.io, developer platforms.
Culture & Benefits
- Autonomous operation in a startup environment with full ownership of customer success.
- Compensation adjusted by level, role, and location; equity and bonus offered.
- Transparent, AI-assisted but human-led hiring process completed in 2-4 weeks.
- Emphasis on customer outcomes, technical depth, and influencing product roadmap.
- Equal opportunity employer committed to non-discrimination.
Hiring process
- Meet individual contributors, managers, and senior leaders; use AI tools permitted for take-homes (disclose usage).
- AI assists recruitment (Ashby for apps, Granola for notes) but humans make decisions.
- Contact careers@.com for AI process questions or data requests.
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