Albert Bow
Vice President of Engineering
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Vice President of Engineering
Vice President of Engineering / CTO Location: London, On-site
Albert Bow is partnering with a high-growth technology company to appoint a hands-on Vice President of Engineering. This is an opportunity to join a growing AI Product business at a pivotal stage of growth, leading engineering strategy while remaining close to the technology, product, and delivery.
Our client is looking for a builder as much as a leader. Unlike traditional VP Engineering roles that focus primarily on people management, this position requires someone who maintains strong technical depth, enjoys solving complex engineering challenges, and can contribute directly to architecture, product direction, and, where appropriate, code.
The successful candidate will have experience building and scaling modern software products, leading high-performing engineering teams, and delivering AI-powered solutions that create measurable business value.
The Opportunity
As VP of Engineering, you will be responsible for the overall engineering function, working closely with the executive team to shape product strategy, technology direction, and organisational growth.
This role will suit an engineering leader who enjoys operating at both strategic and tactical levels - someone equally comfortable discussing company objectives with the board as they are reviewing architecture decisions, supporting engineers, or contributing to complex technical initiatives - this is a highly technical role
Key Responsibilities
Engineering Leadership
- Define and execute the company's engineering strategy in alignment with business objectives.
- Build, mentor, and develop high-performing engineering teams and future engineering leaders.
- Foster a culture of accountability, technical excellence, collaboration, and continuous improvement.
- Establish engineering processes and operating frameworks that support rapid and predictable delivery.
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Technical Leadership
- Provide hands-on technical leadership across architecture, platform design, and engineering best practices.
- Partner with engineering teams on critical technical challenges and strategic initiatives.
- Drive architectural decisions that support scalability, reliability, security, and long-term maintainability.
- Maintain credibility through technical depth and a strong understanding of modern engineering practices.
AI Product Development
- Lead the development and scaling of AI-powered products and features.
- Work closely with AI and product teams to bring new capabilities from concept to production.
- Guide decisions around LLM adoption, agentic workflows, retrieval systems, model evaluation, and AI infrastructure.
- Ensure AI solutions are scalable, observable, reliable, and aligned with customer needs.
Product & Delivery
- Partner closely with Product and Design leadership to deliver customer-focused solutions.
- Drive engineering velocity while maintaining high standards of quality and performance.
- Balance short-term delivery objectives with long-term technical investments.
- Create an environment where engineering teams have ownership of both technical outcomes and business impact.
Candidate Profile
Our client is particularly interested in speaking with engineering leaders who have remained close to the technology throughout their careers.
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You will likely possess:
- Significant experience building and scaling software products in high-growth technology environments.
- Previous experience leading engineering teams, departments, or organisations.
- A strong software engineering background with the ability to contribute technically when required.
- Expert level experience working with modern development frameworks and technologies such as Python, React, TypeScript, Node.js, Next.js, or similar.
- Deep understanding of cloud-native architectures and modern infrastructure practices.
- Experience building, launching, and scaling AI-enabled or AI-native products.
Technical Experience
The successful candidate is likely to have experience across several of the following areas:
- Python and modern backend development frameworks.
- React, TypeScript, Next.js, or comparable frontend technologies.
- AWS, GCP, or Azure cloud environments.
- APIs, microservices, distributed systems, and event-driven architectures.
- Kubernetes, Docker, CI/CD, and infrastructure automation.
- OpenAI, Anthropic, Gemini, LangGraph, LangChain, vector databases, RAG systems, agentic workflows, or similar AI technologies.
- Engineering observability, monitoring, security, and reliability best practices.
Package: £180-200K + Equity (salary negotiable for the right experience) Comprehensive package including healthcare, pension and much more enhanced benefits.
If you would like more information, please get in touch with Christian Campbell at Albert Bow.
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