Senior Knowledge Engineer

Join Rainbird as a Senior Knowledge Engineer, and transform human expertise into explainable, trustworthy AI solutions. Using our low-code decision intelligence platform, you'll rapidly build AI models that deliver clarity and confidence at scale, empowering clients across industries. Collaborate, innovate, and shape the future of AI-driven decision making.

Contract Type: Permanent, Full Time
Location: London - Hybrid - with flexibility to work with global clients
Package: Competitive, based on experience

About Rainbird

Rainbird is redefining the future of explainable AI. Our platform enables organisations to build deterministic, transparent decision automation systems for industries where accuracy, trust, and accountability matter most - including healthcare, banking, insurance, and professional services.

At the heart of Rainbird is a symbolic reasoning engine that makes every automated decision fully transparent, auditable, and justifiable. We empower enterprises to scale their expertise, combining human insight with machine precision.

We're growing fast in the UK and US, and this is an opportunity to join a mission driven team shaping the future of trusted AI. Change will be part of your everyday life, working closely with colleagues remotely both here and in the US - adaptability is the name of the game Interested?

Why Rainbird?

Impactful work: Help some of the world's biggest enterprises solve complex, high stakes business problems.

Cutting edge technology: Work at the intersection of symbolic reasoning, large language models, and explainable AI.

Growth & learning: Accelerate your career with hands on experience in knowledge modelling, decision automation, and hybrid AI.

Remote first culture: Work flexibly from anywhere, supported by a collaborative, inclusive, and curious global team.

Great benefits: Competitive pay, generous holiday allowance and opportunities to lead in a rapidly expanding company.

Role Specification

As a Senior Knowledge Engineer, you'll play a pivotal role in capturing expert knowledge from clients and transforming it into intelligent, transparent decisioning systems using the Rainbird platform.

This is a hands on, hybrid role: part business analyst, part solution builder. You'll work directly with client stakeholders to analyse complex decision processes, translate them into structured logic, and build auditable reasoning systems within the Rainbird Studio. This role is ideal for someone who thrives on solving complex problems, enjoys working closely with clients, and has a passion for turning human expertise into scalable, intelligent systems.

Key Responsibilities

Client Engagement & Analysis

• Understand client decision making and challenges.
• Capture knowledge via analysis/workshops/interviews.
• Bridge business and technical teams.

Solution Implementation & Delivery

• Lead end to end Rainbird implementations.
• Build reasoning graphs, workflows, and tests.

Define/document functional requirements.

• Knowledge Capture & Modeling
• Extract decision logic from experts/docs.
• Translate into and refine Rainbird graphs.
• Maintain governance and scalability.
• Act as Rainbird expert/champion.
• Create reusable components and tools.
• Improve methodology and contribute best practices.

Team Contribution

• Align business/technical discussions.
• Lead training and knowledge sharing

& Qualifications

• 2-4 years' experience in a consulting, implementation, or business analysis role with direct client engagement and requirements gathering.
• Experience delivering or supporting software implementations within an enterprise environment.
• Strong understanding of Large Language Models and prompt engineering principles.
• Excellent analytical and problem solving skills, including debugging complex logic.
• Clear communicator able to engage confidently with both technical and non technical stakeholders.
• Highly organised and self motivated, capable of supporting multiple client projects simultaneously.

Preferred

• Ability to read and manipulate structured data formats such as JSON and XML.
• Experience with rules engines, decision management systems, or BPM/low code platforms.
• Knowledge of formal logic, knowledge representation, or semantic technologies (RDF, OWL, SPARQL).
• Familiarity with machine learning concepts and how probabilistic methods complement deterministic reasoning.
• Domain experience in banking, financial services, insurance, healthcare, or other highly regulated industries.
• Degree in a logic, analytical, or consulting oriented field such as Cognitive Science, AI, Mathematics, Information Systems, Engineering, or Business Analysis (or equivalent experience).

What Success Looks Like

• Project Delivery: Consistent on time delivery of client implementations' tasks, meeting defined scope and quality standards.
• Client outcomes: Deliver high quality solutions that meet client goals and build long term relationships.
• Solution quality: Models are transparent, accurate, maintainable, and auditable.
• Innovation: Contribute to accelerators and best practices that improve how Rainbird delivers projects.
• Knowledge sharing: Mentor colleagues and empower client teams to maintain and evolve their Rainbird solutions
• AI Model Integrity: Maintainable, well structured knowledge graphs and supporting artefacts, adhering to internal quality benchmarks.
• Reusability & Innovation: Contribution to reusable components, accelerators, and platform enhancements that improve delivery efficiency.

Rainbird is an equal opportunities employer.