Principal AI Engineer

About WeBuild-AI:

WeBuild-AI areAInatives delivering 10x value for enterprise organisations.We combine highly skilled experts with ourAI Launchpad, industry-aligned language models, and agents to transform enterprise organisations intoAI-poweredanddata-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 toreinvent what's possible with AI in enterprise environments. Our AI Engineers don't just implement solutions—they discover new patterns of working with AI thatrevolutionise entire business processes. We believe AI will fundamentally transform how organisations operate, and we're looking forpioneers 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 PrincipalAI Engineerat WeBuild-AI, you willdesign, develop,anddeploy innovative AI solutionsthat transform our clients' businesses. You'll leveragecutting-edge language models, agent frameworks,and ourPathway platform to create high-impact AI applicationsthat 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 theoverall 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 guideLead AI Engineersand technical contributors to raise the engineering bar.
• Champion best practices forgovernance, observability, and lifecycle managementof AI systems.
• Evaluate and introduce emerging frameworks, includingAutogen,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 atechnical 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 experiencearchitecting and scaling enterprise-grade AI/ML systems.
• Proven expertise withcloud AI ecosystems(AWS Bedrock, SageMaker, Azure OpenAI, Azure ML).
• Strong command ofagent frameworks,vector databases, andLLM orchestration tools.
• Ability to leadmulti-disciplinary teamsand manage complex AI projects.
• Advanced proficiency inPython, MLOps, and software engineering principles.
• Experience settingtechnical 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.

The Mindset We Value:

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.