Space Executive
Forward Deployed Engineer | AI Infra
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Forward Deployed AI Engineer
A Series C AI infrastructure company, trusted by leading enterprises at scale, is hiring a Forward Deployed AI Engineer to work directly with client engineering teams on some of the most complex GenAI challenges in production. This is a hands-on, client-facing role that sits at the intersection of deep technical execution and business delivery; you'll be designing and implementing production-grade AI observability programs, building custom integrations, and managing multiple concurrent engagements from scoping through to launch. Based remotely with regular client travel to London, this role is for someone who thrives in fast-moving environments and wants their AI expertise to have direct, measurable impact on how enterprises ship AI.
Company Culture
- Remote-first
- Genuinely excited about AI - the team lives and breathes it, and expects the same from the people who join
- Cross-functional by design - close collaboration between engineering, sales, product, and customer success
- Active commitment to diversity and inclusion, with industry-wide impact on responsible AI as a core motivator
- WFH monthly stipend for those outside office locations
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What's on Offer
- Salary: £120k, plus OTE bonus
- Competitive equity package
- Comprehensive benefits including medical, dental, and vision
- Unlimited paid time off
- Generous parental leave
- Mental health and wellness support
What You'll Be Doing
- Partnering directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programmes
- Leading technical discussions with customer stakeholders from engineers through to senior executives, translating business priorities into scalable solutions
- Building custom integrations, tooling, and workflows that extend the platform to meet customer-specific requirements
- Managing multiple concurrent customer engagements, driving projects from scoping through delivery
- Collaborating cross-functionally with sales, customer success, product, and engineering to shape implementation strategy and influence product direction
- Helping define and scale best practices, technical playbooks, and delivery methodologies for the growing forward deployed engineering team
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What We're Looking For
AI and ML Engineering (Core Requirement)
- Experience building MLOps pipelines and developing, deploying, and iterating on Generative AI applications in production environments
- Genuine enthusiasm for the AI space - staying at the forefront of rapidly evolving AI technologies is part of the job
Software Development
- Software development experience; comfortable working in at least two of Python, Java, or TypeScript
- Experience with public cloud platforms (AWS, GCP, or Azure) and containerisation and orchestration technologies such as Docker and Kubernetes
Client Delivery
- Excellent communication skills across both technical and business audiences - comfortable engaging senior executives on outcomes and engineers on implementation detail
- Proven ability to manage multiple client engagements simultaneously and deliver high-quality technical outcomes under demanding timelines
- Comfortable operating in fast-paced environments and navigating diverse client organisations and evolving priorities
If this sounds like your kind of role, feel free to reach out for a confidential chat.
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