Principal AI Engineer

About WeBuild-AI

WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed.

Our Purpose

We’re on a mission to reinvent what’s possible with AI in enterprise environments. Our AI Engineers don’t just implement solutions—they discover new patterns of working with AI that revolutionise entire business processes. We believe AI will fundamentally transform how organisations operate, and we’re looking for pioneers who want to lead this transformation, working at the absolute cutting edge of what’s possible with today’s most advanced AI technologies.

Role Overview

As a Principal AI Engineer at WeBuild-AI, you will design, develop, and deploy innovative AI solutions that transform our clients’ businesses. You’ll leverage cutting-edge language models, agent frameworks, and our Pathway platform to create high-impact AI applications that deliver 10x value. You’ll be given the freedom to experiment and push boundaries, discovering new ways AI can solve complex enterprise challenges.

Key Responsibilities

• Define the overall AI architecture and technology strategy, ensuring long-term scalability and reliability.

• Lead technical direction across multiple teams, overseeing the full AI solution lifecycle — from concept to production.

• Mentor and guide Lead AI Engineers and technical contributors to raise the engineering bar.

• Champion best practices for governance, observability, and lifecycle management of AI systems.

• Evaluate and introduce emerging frameworks, including Autogen, LangGraph, and other agentic ecosystems.

• Partner with senior stakeholders to align AI strategy with business goals.

• Drive the evolution of our internal platform (Pathway) to enable faster, safer AI delivery.

• Represent the company externally as a technical authority — at client workshops, conferences, or thought leadership sessions.

• Proactively identify and mitigate risks in AI adoption, ensuring ethical and compliant implementation.

Required Skills & Experience

• Deep experience architecting and scaling enterprise-grade AI/ML systems.

• Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML).

• Strong command of agent frameworks, vector databases, and LLM orchestration tools.

• Ability to lead multi-disciplinary teams and manage complex AI projects.

• Advanced proficiency in Python, MLOps, and software engineering principles.

• Experience setting technical standards, governance frameworks, and performance benchmarks.

• Strong consulting mindset with the ability to translate emerging technology into business impact.

• Strategic thinker with the ability to pioneer new approaches and challenge conventional wisdom.

Relentless Innovation

We’re looking for individuals who are constantly exploring the edges of what’s possible with AI. You should be the type who stays up late testing new approaches just to see what might work.

Flexible Methodology

Traditional development approaches don’t always apply to AI. We need people who can adapt their working methods to the unique characteristics of AI systems, embracing experimental approaches when appropriate.

Can Do Attitude

When faced with a seemingly impossible challenge, your response should be “let’s figure out how” rather than “it can’t be done.” We value determined problem-solvers who find a way forward.

Balanced Perspective

While pushing boundaries, you must maintain a grounded understanding of enterprise realities, balancing innovation with practical implementation.

Growth Opportunities

• Develop expertise with emerging AI models and capabilities before they reach mainstream adoption.

• Create intellectual property and novel implementation approaches.

• Work across multiple industries to develop deep domain expertise.

• Contribute to the evolution of our proprietary AI methodology.

• Participate in the AI research community and establish thought leadership.

• Shape new AI services and capabilities within our Pathway platform.

This role is hybrid and we come into our London based office 3 days a week.