Apply for the Principal Applied AI Engineer role at Colibri Digital.
Colibri Digital is a specialist engineering consultancy delivering advanced data and AI solutions for clients across finance, healthcare, logistics, government, and technology.
Department: Services
Location: Remote, UK
The Role
We’re looking for a Principal Applied AI Engineer to shape and build AI systems that make a tangible impact.
You’ll work closely with clients and cross‑functional teams to design and deliver scalable, production‑ready AI capabilities — from intelligent automation to generative applications. This role is ideal for someone who thrives in ambiguity, mentors others with confidence, and enjoys bridging design, engineering, and delivery.
Key Responsibilities
- Lead technical discovery and delivery for AI engineering engagements, taking clients from concept to production.
- Design, build and deploy applied AI systems that integrate seamlessly with existing software and data platforms.
- Develop and maintain backend systems, APIs, and frontends in alignment with software engineering best practices.
- Mentor and develop engineers (both within Colibri and client teams), building capability and confidence.
- Define and uphold best practices in AI engineering, including robust architecture, testing, and deployment.
- Partner with data scientists, product managers, and delivery leads to ensure AI solutions are practical, ethical, and aligned with business outcomes.
- Contribute to Colibri’s internal capability development; shaping frameworks, patterns, building reusable code repositories or other assets and thought leadership in applied AI.
- Represent Colibri as a trusted technical advisor, communicating complex AI concepts clearly to non‑technical audiences.
Skills, Knowledge and Expertise
- Proven experience in a senior or principal engineering role within an AI technology consultancy or AI‑driven product organisation, delivering AI models, systems and products to production.
- Strong foundation in software engineering with hands‑on experience building and deploying production‑grade AI or ML‑enabled systems.
- Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent).
- Proficiency in at least one major programming language (Python preferred) and modern software delivery practices (CI/CD, containers, orchestration).
- Experience mentoring engineers and guiding clients through AI adoption and delivery.
- Excellent communication and stakeholder management skills, able to lead with empathy and clarity in complex client environments.
Desirable
- Experience integrating generative AI, retrieval‑augmented generation (RAG), or similar architectures into production systems.
- Strong background in consultancy, digital transformation, or multi‑industry project delivery.
- Contributions to open‑source projects or AI engineering communities.
What you can expect from us
- Remote‑first working with flexibility around client needs.
- Private health insurance.
- Projects with global brands & public sector leaders, working on real‑world impact.
- A collaborative culture of excellence and continuous improvement.
- Competitive salary, bonus structure, and long‑term growth opportunities.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting