Principal AI Engineer
- Compensation
- Not disclosed
- Location
- London, England, United Kingdom
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- 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.
Full description
About WeBuild-AI:
WeBuild-AI are AInatives 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.