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AI Orchestration Architect

Job in City Of London, Central London, Greater London, England, UK
Listing for: Intent HQ
Part Time position
Listed on 2026-01-06
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist
Job Description & How to Apply Below
Location: City Of London

About Intent HQ

Intent HQ Recognised by the Financial Times as one of the FT1000 Fast Growing Companies in Europe (2022–2024), and winners of both Analytics Company of the Year 2025 and AI Company of the Year 2024 at the British Data Awards, Intent HQ is a leader and innovator in Customer AI Analytics and Data Science. Backed by strong investors and trusted by a blue-chip international enterprise customer base, our mission is to become the world’s preeminent Customer Intent Engine by combining privacy‑first signal intelligence, proprietary behavioural AI/ML analytics, and uniquely accessible enterprise insights into a single platform that enables organisations to build more genuine, sustainable, and profitable relationships with customers.

We began by solving complex challenges for clients in the telecommunications sector, including Verizon, O2, and Orange, and have since expanded into Financial Services, Retail, and Social Media, with clients such as HB Reavis and Zurich Group. Our clients typically manage tens of millions of customers and process billions of interactions daily. Our platform is purpose‑built to handle data at this enormous scale efficiently, delivering tangible results.

What sets us apart is our focus on deep customer interaction data, doing the hard, specialised work so our clients can focus on applying insight to their business strategies.

Today, Intent HQ is home to an exciting, diverse, and fast‑growing team of 100+ people across London, Barcelona, Lisbon, Tel Aviv, New York, South Africa & India, collectively speaking over 15 languages.

Recent Awards & Recognition
  • Best AI Ethics & Diversity Award 2025 - AI World Series Awards
  • AI Business of the Year 2025 - The National AI Awards
  • Analytics Company of the Year 2025 – British Data Awards
  • AI Company of the Year 2024 – British Data Awards
  • FT1000 Europe’s Fastest Growing Companies 2022–2024 – Financial Times & Statista
  • Top 100 Edge Computing Company 2024 – STL Partners
Why Join Us
  • Exciting Work Environment:
    Work on cutting‑edge technology at the intersection of AI and data analytics.
  • Impactful Role shaping how the company moves forward.
  • Growth Opportunities:
    Advance your career in a fast‑paced, innovative industry.
  • Hybrid role: 3 days per week in our state‑of‑the‑art London office plus access to the onsite gym (including towel‑serviced showers and changing facilities).
The Opportunity

The AI Orchestration Architect is a hybrid business & technical role responsible for designing, implementing, orchestrating and optimising intelligent AI systems composed of agents, workflows and prompts. This role sits at the intersection of multi‑agent orchestration, workflow design, prompt engineering and system reliability.

You will translate ambiguous human goals into precise AI instructions, architect reusable prompt and agent frameworks, and ensure that AI agents collaborate safely, predictably, and efficiently ing as both a linguistic architect and a systems orchestrator, you will enable reliable human–AI and agent–agent workflows across the organisation.

This role is critical to scaling AI‑driven automation while maintaining clarity, safety, and performance in a rapidly evolving ecosystem.

1. Agent Network & Workflow Orchestration
  • Design, configure, and maintain AI agent networks, including roles, capabilities, scopes, and handoff logic.
  • Define how prompts, tools, agents, and humans interact within end‑to‑end systems.
  • Ensure agents are aligned with business goals and operate within clear boundaries.
  • Implement modular, reusable agent components across workflows.
2. Interaction Protocols & Governance
  • Define interaction rules between agents (communication patterns, delegation logic, escalation paths).
  • Establish guardrails, validation steps, and safety mechanisms for agent‑to‑agent and agent‑to‑human interactions.
  • Maintain clear documentation of protocols, decision logic, and system diagrams.
  • Promote responsible AI use, including bias mitigation and safe output practices.
3. Prompt & Agent Framework Management
  • Build and maintain centralised prompt and agent libraries.
  • Develop versioning, testing, and evaluation frameworks for prompts and agents.
  • Maintain auditable…
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