AI Technical Solutions Lead

🔥 3 minutes ago

🇬🇧 United Kingdom – Remote

⏳ Contract/Temporary

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Quadmark

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1999

📚 Education

🤝 B2B

☁️ SaaS

Education • B2B • SaaS

Quadmark is a creative training company that designs and delivers people development, sales enablement, retail & product training, digital transformation, and event facilitation services. They combine learning strategists, writers, designers, facilitators and digital specialists to create blended learning experiences — in-person and online — including eLearning, video, gamification, LMS UX consultancy, coaching, and ongoing enablement for B2B sales and retail teams. Their work focuses on helping organisations adapt to hybrid working, DE&I, multi-generational workforces and fast-paced business change, delivering tailored programs across the customer journey and crafting memorable events.

📋 Description

• Act as a trusted AI technical advisor to clients and internal teams • Support new client opportunities by understanding technical requirements, assessing feasibility and risk, identifying dependencies, and translating findings into deliverable approaches • Review technical quality and readiness across existing AI programmes • Review content, labs, code examples and demonstrations for accuracy • Test technical exercises • Build and test lightweight prototypes, proofs of concept, labs, simulations and internal tools • Work directly with AI models, APIs and developer tools to validate proposed approaches • Translate complex AI concepts and terminology into clear, actionable briefs • Advise on appropriate AI tools and approaches, including trade-offs • Identify and navigate gaps between client expectations and technical reality • Brief and support facilitators on complex AI concepts, demonstrations and likely client questions • Keep pace with AI models, developer tooling and implementation practices and provide practical recommendations • Capture and share useful technical patterns • Ensure Quadmark's AI work is technically sound from the first client conversation through delivery

🎯 Requirements

• Hands-on experience building and testing AI tools, applications, labs, simulations, prototypes or API integrations • Strong practical understanding of large language models and foundation models, including how they work, their limitations, context and data flows and multimodality • Experience with RAG, embeddings, vector databases, prompt engineering and fine-tuning • Familiarity with agentic systems, tools and actions, workflows, orchestration and MCP • Understanding of AI evaluation and safety, including evals, guardrails, moderation, human-in-the-loop approaches and observability • Advisory, consulting, solutions engineering or similar experience helping others understand which AI tools or approaches to use and why • Strong client-facing experience, including communicating confidently with senior and technical client stakeholders • Ability to translate complicated technical information into simple, precise language for different audiences and teams • Strong problem decomposition skills • Must be eligible to work in the UK • Bonus: background in the technology industry • Bonus: experience in solutions engineering, forward-deployed engineering, applied AI or technical pre-sales • Bonus: experience in learning, enablement or consultancy • Bonus: hands-on experience with current developer tools such as Codex, Claude Code or Cursor • Bonus: experience working with major technology clients or partners

🏖️ Benefits

• Flexible remote-first working • Quarterly in-person team days • Private medical insurance • Travel insurance • EAP and mental health support • 25 days' UK annual leave • Three-day paid shutdown at the end of the year