Hybrid AI Orchestration Architect

at Intent HQ | FT1000 fastest growing European business

• Job title: AI Orchestration Architect
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, London, United Kingdom

About the role

• AI Orchestration Architect at Intent HQ designing and optimizing AI systems integrating agents and workflows. Collaborate with cross-functional teams to ensure reliable human-AI interactions.

Responsibilities

• 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.
• 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.
• Build and maintain centralised prompt and agent libraries.
• Develop versioning, testing, and evaluation frameworks for prompts and agents.
• Monitor real-time agent behaviour, workflows, and cross-agent dependencies.
• Detect emergent behaviours—both beneficial and risky—and intervene when systems deviate from expectations.
• Analyze logs, metrics, and outputs to identify bottlenecks and inefficiencies.
• Partner with product, data, engineering, and operations teams to deeply understand context and intent.

Requirements

• 2–6 years working with LLMs, AI systems, workflow automation, software engineering, applied ML, or prompt engineering.
• Experience designing AI workflows, agent systems, or orchestration logic.
• Background in UX writing, technical writing, linguistics, scripting, or systems design is a plus.
• Exposure to multi-agent systems or orchestration platforms preferred but not required.
• Strong understanding of LLM behaviour, prompt engineering, and instruction design.
• Familiarity with agent architectures, multi-agent systems, and orchestration concepts.
• Ability to analyse logs, metrics, and anomalous system behaviour.
• Familiarity with APIs, workflow tools, and system integration concepts.

Benefits

• Flexible working
• Free breakfast daily (when in the office)
• 26 days holiday (pro rata)
• Pension scheme
• Income Protection with Employee Assistance Programme
• Life Assurance
• Oliva Mental Health platform and counselling
• Higher than statutory maternity/paternity benefits
• Work socials
• Wellbeing programme
• Cycle to work scheme
• Training opportunities