We’re hiring an AI Orchestration Architect to build the brains behind our AI—uniting agents, workflows, and prompts into powerful, reliable systems that turn bold ideas into real-world impact.
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
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
The Opportunity
The AI Orchestration Architect is a hybrid business & technical role responsible for designing, building, and optimising intelligent AI systems composed of agents, workflows, and prompts—while simultaneously supporting the organisational transformation required to make these systems successful.
You will sit at the intersection of multi-agent orchestration, workflow design, prompt engineering, and organisational change. You will be our technical expert on agentic systems, but equally, you will be a change champion and trusted partner to stakeholders across the business as we transition to AI-native operations where humans and agents work seamlessly together.
You will translate ambiguous human goals into precise AI instructions, architect reusable frameworks, ensure AI agents collaborate safely and efficiently at scale, and help the organisation build the capabilities and confidence to embrace new ways of working.
This role is critical to scaling AI-driven automation while maintaining clarity, quality, and performance—and to bringing people along on the journey.
Key Responsibilities
Agent Architecture & Orchestration
- Design and maintain AI agent networks—roles, capabilities, handoff logic, and how agents interact with each other and humans.
- Build modular, reusable agent components and establish interaction protocols (delegation, escalation, safety guardrails).
- Ensure agents operate within clear boundaries and meet governance and compliance standards.
- Continuously evaluate and improve orchestration patterns based on real-world performance.
Prompt Engineering & Framework Management
- Design prompt chains for multi-step and multi-agent workflows.
- Build and maintain centralised prompt/agent libraries with versioning and testing frameworks.
- Translate business requirements into reliable, structured AI instructions.
- Establish quality standards and maintain auditable records of changes and experiments.
Monitoring & Continuous Improvement
- Monitor agent behaviour, system health, and performance in production.
- Detect emergent behaviours—both beneficial and risky—and intervene proactively.
- Run experiments and A/B tests; lead post-mortems to extract learnings and improve reliability.
- Connect technical improvements to measurable business outcomes.
Enablement & Change Management
- As part of your team’s mandate, champion the organisation's transition to AI-native operations where humans and agents work seamlessly together.
- Design and deliver training on human-AI collaboration.
- Help teams reimagine their processes and identify opportunities for AI augmentation.
- Build enthusiasm through clear communication and demonstrated value.
Stakeholder Partnership
- Build trusted relationships across teams (product, engineering, operations, and leadership).
- Translate complex technical concepts for non-technical audiences.
- Align competing priorities and bring diverse perspectives toward shared goals.
- Keep leadership informed on system performance, transformation progress, and emerging opportunities.
About You
You will thrive in this role if you are:
- A technical expert who can also lead change: You’re deeply skilled in building AI systems, but you understand that technology alone doesn’t drive transformation—people do. You’re as comfortable coaching a colleague as you are debugging a prompt chain.
- An exceptional communicator: You can translate complex technical concepts for any audience, write with precision and clarity, and present a compelling vision that gets people excited.
- A systems thinker: You see connections and dependencies others miss. You design modular, reusable architectures and anticipate second-order effects.
- Autonomous and ownership-driven: You don’t wait to be told what to do. You identify what needs doing, take responsibility for outcomes (not just tasks), and drive initiatives to completion.
- Stakeholder-savvy: You build relationships easily, navigate organisational complexity, and influence without authority. You can work with multiple stakeholders simultaneously and manage competing priorities with grace.
- Metrics-driven: You connect your work to business outcomes. You’re energised by measurable improvements and use data to guide decisions.
- Detail-oriented but pragmatic: You care deeply about quality, safety, and reliability—but you also know when “good enough” is the right call to keep momentum.
- Curious and adaptable: You’re genuinely excited about AI’s potential to transform work. You experiment freely, learn quickly, and stay calm in ambiguity.
Experience & Qualifications
Experience
- 3+ years working with LLMs, AI systems, workflow automation, software engineering, applied ML, or prompt engineering.
- Track record designing and deploying AI workflows, agent systems, or orchestration logic in production environments.
- Track record of influencing stakeholders at multiple levels.
A plus if you have:
- Experience supporting or leading organisational change, transformation, or adoption initiatives.
- Experience designing and delivering training, enablement, or coaching (formal or informal).
- Background in technical writing, UX writing, linguistics, or systems design.
Technical Skills
- Strong understanding of LLM behaviour, prompt engineering, and instruction design.
- Strong understanding of agent architectures and multi-agent systems.
- Ability to analyse logs, metrics, and anomalous system behaviour.
- Familiarity with APIs, workflow tools, and system integration concepts.
- Comfortable with experimentation, A/B testing, and data-driven optimisation.
Communication & Influence
- Excellent written and verbal communication skills.
- Ability to present complex ideas clearly to technical and non-technical audiences.
- Experience building trusted relationships across functions.
- Comfortable facilitating workshops, training sessions, and cross-functional discussions is a plus.
Mindset & Behaviours
- Proactive and autonomous; takes ownership of outcomes, not just tasks.
- Strong commercial instinct—connects technical work to business value.
- Energised by helping others succeed.
- Comfortable operating with ambiguity and pioneering new ways of working.
- High adaptability and commitment to continuous learning.
What We Offer
Benefits
- Flexible working
- 26 days holiday (pro rata)
- Work socials
About Intent
You leave a trail behind you every day — and it says more about what you will do next than anything you have told a company directly. Your phone registers when you fall asleep and when you wake. Your mobile network notices your commute. Your browser remembers that you wandered onto a competitor's site last Tuesday — and the Tuesday before that. You move through the world, and the world quietly takes notes.
Most companies lose the detail. A large mobile network generates hundreds of billions of events every single day — too expensive to keep in raw form. So your rich, specific, wonderfully complicated life gets compressed into an average. You become “males 25–34 in the southeast who browsed upgrades.” A bucket. A segment. And then that bucket gets blasted with messages — because when you cannot tell what someone actually wants, the only strategy left is frequency. Send more, send often, hope something lands.
We built something different. Intent runs two types of intelligence in parallel. Our cloud engine reads billions of events a day — weblogs, payments, app signals, CRM records — and finds behavioural sequences: chains of small actions that unfold in a recognisable order before someone switches, upgrades, or leaves. Our on-device Edge AI sits directly on the phone, reading 16,000 signals and distilling them into 750 insights about your current state — without any of that information ever leaving the device.
We manage over 300 million customer profiles. We underpin $115 billion in customer value. We hold 49 patents in behavioural AI, privacy architecture, and on-device intelligence. We were named AI Business of the Year 2025. And Verizon — with large data science teams of its own — has been our customer for seven years, because what we have built over a decade of patents, learning, and rigorous product development cannot be easily replicated.
Our Team
Around 110 people and growing, based across London, Barcelona, Lisbon, New York, and Tel Aviv. Engineers, data scientists, product designers, and commercial minds who collectively speak over 15 languages. United by a single conviction: when you understand human behaviour properly, relevance follows — and when relevance follows, so does value.
Why Join Intent
Work that matters at genuine scale.
Our clients have tens of millions of customers and billions of interaction events each day. You will not be optimising a landing page — you will be shaping how the world's largest enterprises understand and serve their customers.
Category-defining technology.
49 patents. An AI that reads 16,000 behavioural signals directly on your phone — data never leaves. A cloud engine that digests 250 billion events a day and delivers fresh intelligence in under 120 seconds. Privacy twins that make re-identification mathematically infeasible.
Global reach, real momentum.
Verizon, MTN Group, ABG Capital — across telecoms, financial services, retail, and social media. Expanding rapidly into Latin America, Africa, APAC, India, and the Middle East. AI Business of the Year 2025.
A place to grow — fast.
We are at an inflexion point: approaching profitability, launching a flagship agentic platform, and scaling commercially across seven regions. The people who join now will shape the next chapter.
Hybrid and flexible.
London-based roles work from the office three days a week, with the rest remote. Team members across Barcelona, Lisbon, New York, South Africa, Nigeria, Brazil, India, and Tel Aviv — a genuinely international team solving genuinely global problems.
Our Values — In Practice
Human-first. No one is average. We start with individual reality, motivation, and context — not statistical convenience or abstract users.
Principled. Privacy is a human right — a design principle, not a legal afterthought. Trust is foundational, not optional.
Ambitious. We anticipate the edge — looking ahead early and building what others assume cannot yet be built.
Inclusive. Intentionally relevant. Every interaction should earn its place — serving simply, with clarity in product, communication, and action.
In service. We serve simply — to our customers, to each other, and to the work itself. No unnecessary complexity, no ego in the way.