Agentic Architecture Lead

Hogarth is the Global Content Experience Company. Part of WPP, Hogarth partners with one in every two of the world’s top 100 brands including Coca-Cola, Ford, Rolex, Nestlé, Mondelez and Dyson. With a breadth of experience across an extensive range of sectors, Hogarth offers the unrivaled ability to deliver relevant, engaging, and measurable content across all channels and media - both established and emerging. The number of channels at our fingertips; the need for speed; and the drive for mass personalisation, all mean that brands need different solutions.  Our global team of over 7,500 craft and technology experts brings together creative, production and innovation to help clients navigate this exciting and ever-changing world of today’s content experience.

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. Working at WPP means being part of a global network of more than 100,000 talented people dedicated to doing extraordinary work for our clients. We operate in over 100 countries, with corporate headquarters in New York, London and Singapore. WPP is a world leader in marketing services, with deep AI, data and technology capabilities, global presence and unrivalled creative talent. Our clients include many of the biggest companies and advertisers in the world, including approximately 300 of the Fortune Global 500. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.  

Agentic Architecture Lead
Job Title: Agentic Architecture Lead

Job Summary:
We are seeking a visionary and technically skilled Agentic Architecture Lead to design, lead, and evolve the architectural foundation for agentic systems — intelligent, goal-driven agents capable of autonomous decision-making and collaboration. You will spearhead initiatives to create scalable, modular, and adaptive architectures that support multi-agent coordination, autonomy, and integration across complex environments.

Key Responsibilities:

• Lead the design and evolution of agentic system architectures for distributed, intelligent agents.
• Define standards, principles, and patterns for agent autonomy, communication, and coordination.
• Collaborate cross-functionally with AI/ML, product, infrastructure, and security teams.
• Architect frameworks to support multi-agent orchestration, goal alignment, memory, and reflection.
• Establish best practices for safe, explainable, and trustworthy agent behavior.
• Guide teams in integrating LLMs, symbolic reasoning, and RL/ML pipelines into agent systems.
• Ensure the architecture supports scalability, extensibility, and performance in real-time environments.
• Contribute to internal tools that monitor and optimize agentic behavior and system health.
• Provide architectural mentorship to engineering teams and review critical design decisions.

Requirements:

Must-Have:

• 8+ years in software architecture, including 3+ in autonomous systems, AI agents, or similar.
• Strong experience with multi-agent systems, LLM integration, or cognitive architectures.
• Expertise in designing event-driven, service-oriented, or microservice architectures.
• Proficiency in at least one major programming language (e.g., Python, Go, Java, Rust).
• Strong communication and leadership skills with a systems thinking mindset.

Nice-to-Have:

• Knowledge of agent simulation environments, e.g., OpenAI Gym, Unity ML-Agents.
• Familiarity with concepts like Theory of Mind, recursive self-improvement, or agent modeling.
• Experience with knowledge graphs, embeddings, vector databases, and memory architectures.
• Exposure to safe AGI alignment or human-AI interaction frameworks.

Academic Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field required.
• Master’s degree or Ph.D. in Artificial Intelligence, Cognitive Science, Machine Learning, Systems Engineering, or a closely related discipline preferred.
• Proven academic or research exposure to autonomous agents, multi-agent systems, or intelligent architectures is a strong advantage.

WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Please contact careers@hogarth.com if you need the job advert or form in another format.

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