Head of Agent Architecture

Accountabilities

• • Define the technical vision and roadmap for agent architecture, covering multi-agent workflows, task decomposition, state management, tool calling, retrieval-augmented generation, API integrations, and related patterns.
  • Establish architectural standards and make strategic decisions about what should become reusable platform capabilities versus bespoke solutions for individual clients.
  • Design and maintain reusable agents, prompt libraries, orchestration patterns, and frameworks capable of supporting thousands of brands with distinct requirements and voices.
  • Lead the systematic evaluation and optimization of agent performance, establishing benchmarking, experimentation, and evaluation practices that make quality measurable and continuously improve system reliability.
  • Hire, mentor, and manage a small team of Agent Architects, setting a high technical bar, providing ongoing feedback, and supporting their professional development.
  • Partner closely with AI Engineering, Product, Sales, and client leadership to determine when problems are best addressed through prompting, RAG, fine-tuning, orchestration, or other technical approaches.
  • Serve as the senior technical escalation point for complex client deployments and personally lead discovery for the highest-priority engagements.
  • Translate ambiguous customer and creative briefs into clearly scoped, buildable agent workflows while communicating architectural trade-offs around cost, latency, reliability, and quality.
  • Represent agent technology with senior client and agency stakeholders, explaining complex technical concepts and system limitations in clear, accessible language.
  • Establish success measures around workflow reliability, architectural efficiency, brand alignment, adoption, client deployment success, stakeholder trust, and team growth.
  • Develop the team’s ability to independently lead client engagements, ensuring the function can scale without depending on your direct involvement in every project.

  Requirements:

  • 8+ years of direct experience working with Generative AI, with deep technical fluency across large language models such as GPT, Claude, or Gemini and multimodal generative models for imagery and video.
  • 2+ years of experience managing people or leading a technical function, with a demonstrated ability to hire, develop, and motivate technical professionals or own a roadmap with significant stakeholder responsibility.
  • Strong systems-thinking skills, including a sophisticated understanding of context windows, agent interactions, task decomposition, state management, tool use, and how outputs from one component become inputs for another.
  • Strong technical literacy, including comfort working with Python, JSON structures, APIs, and technical documentation. Experience with agent orchestration patterns is more important than expertise in any particular framework.
  • Demonstrated experience creating or operating evaluation, benchmarking, A/B testing, or other measurement frameworks for AI systems. You believe AI behavior should be measured before it is shipped.
  • Proven strategic leadership skills, with the ability to establish a technical direction, gain senior leadership buy-in, and hold a team accountable for delivering against it.
  • Experience leading technical discovery with senior customers or stakeholders and translating ambiguous requirements into practical technical solutions. Backgrounds in solutions architecture, forward-deployed engineering, or technical consulting are highly relevant.
  • Exceptional communication skills, with the ability to explain agent failure modes, evaluation results, and architectural trade-offs to non-technical senior stakeholders without unnecessary jargon.
  • Ability to bridge technical and creative disciplines, translating subjective creative direction into concrete system requirements and helping technical teams understand the needs of creative professionals.
  • Comfortable acting as the face of AI technology in strategic client conversations while remaining hands-on with complex technical challenges.
  • A problem-solving mindset and genuine curiosity about AI behavior, including the ability to approach hallucinations, inconsistencies, and other agent failures as systems problems to understand and solve.
  • Strong interest in building scalable infrastructure, technical standards, and high-performing teams that can support increasingly sophisticated AI applications.

  Benefits:

  • 25 days of paid time off plus public holidays, supported by a flexible time-off approach.
  • Health insurance and private medical coverage.
  • Monthly stipend supporting wellness, fitness, and learning and development.
  • Remote-first flexibility, with the ability to work from anywhere within your home country.
  • Enhanced parental leave for parents through birth, adoption, or surrogacy.
  • Flexible working hours.
  • Access to an office in The Shard, London for eligible UK-based employees.
  • Opportunity to work on cutting-edge Generative AI applications at the intersection of technology, creativity, and advertising.
  • Significant scope for leadership, technical ownership, and professional growth as AI agent technology continues to evolve.