[Hiring] AI Technical Solutions Lead @Quadmark

Role Description

We’re looking for an AI Technical Solutions Lead to become a trusted technical authority for our AI work, helping us turn ambitious client ideas into technically credible solutions and ensuring the AI programmes we build and deliver are accurate, current and effective. This is a hands-on role sitting at the intersection of AI, client consulting and technical enablement.

You might currently work in solutions engineering, applied AI, technical consulting, forward-deployed engineering or technical pre-sales. Whatever your title, you’ll need to be comfortable moving between a conversation with a client’s technical stakeholders, briefing an internal team in straightforward language and getting hands-on with an API, prototype, lab or simulation to prove that something actually works.

What you'll be doing:

• Focus on new client opportunities to understand technical requirements, assess feasibility and risk, identify dependencies, and translate findings into a clear approach.
• Focus on technical quality and readiness across existing AI programmes by reviewing content, labs, code examples, and demonstrations.
• Act as a trusted AI technical advisor to clients and internal teams.
• Build and test lightweight prototypes, proofs of concept, labs, simulations, and internal tools to validate ideas and reduce technical risk.
• Work directly with AI models, APIs, and developer tools to test proposed approaches.
• Translate complex AI concepts and terminology into clear, actionable briefs for technical and non-technical teams.
• Advise on the right AI tools and approaches for different client needs, including trade-offs involved.
• Identify where client expectations and technical reality diverge and navigate those conversations constructively.
• Review technical content and demonstrations for accuracy before they reach learners.
• Brief and support facilitators on complex AI concepts, demonstrations, and likely client questions.
• Keep pace with developments across AI models, developer tooling, and implementation practices and turn them into practical recommendations.
• Capture and share useful patterns to avoid solving the same technical problem twice.

Qualifications

• Hands-on AI experience, including building, testing, and troubleshooting AI tools or applications.
• Strong practical understanding of large language models and foundation models.
• Experience with common AI application patterns including 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.
• The ability to translate complicated technical information into simple, precise language for different audiences and teams.
• Strong problem decomposition skills.

Requirements

• Proactive and take ownership of issues.
• Comfortable with ambiguity and patient when helping others understand complex ideas.
• Able to move quickly in a changing environment.
• Precise about technology capabilities and limitations.
• Enjoy enabling others to succeed.

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.