Head of Engineering

About Us

BOI is pioneering the field of AI strategy and applied AI, partnering with the US and Europe’s largest businesses to ideate, design, and build AI products that transform the way they work. We don’t just help organizations imagine what’s possible - we build the custom software that turns that vision into reality.

We work across different sectors and functions and have built a world-class team that unites commercial expertise, smart strategy, and technology. If you’re passionate about building enterprise AI products from 0->1 and leading projects at the forefront of AI innovation, we’d love to meet you!

About the Role

As our Head of Engineering, you will be responsible for building and scaling BOI’s global engineering function. You’ll lead the design of our engineering practice, hire and manage our engineers across all disciplines, and establish the infrastructure, environments, and operations needed to consistently ship high-quality AI applications.

This is a player-coach role: you’ll architect systems, set up infrastructure, and write code - but also shape our technical strategy, lead hiring, and grow our team. You’ll work closely with our strategists to turn client opportunities into scalable, robust technical solutions.

What You’ll Do

Technology Leadership

You won’t just lead delivery, you’ll architect the foundation that turns one-off client solutions into a compounding technology advantage. 

• You’ll be responsible for identifying, abstracting, and evolving reusable technical primitives across our core domains that include augmented intelligence, agentic workflows, and simulation. 
• Working closely with strategy and product teams, you’ll drive the development of an internal platform layer that accelerates delivery velocity, unlocks repeatable value, and underpins the transformation of our consultancy DNA into a scalable technology company.

Engineering Leadership

• Define and own the technical architecture for our AI applications, including ML, front-end, back-end, and data infrastructure.
• Set up best practices for version control, code review, testing, and documentation.
• Establish local, staging, and production environments, as well as CI/CD pipelines.
• Build our technical stack with long-term scalability, maintainability, and security in mind.

Hands-On Execution

• Contribute code and actively participate in the development of new products.
• Set up foundational infrastructure for containerization, deployment, and AI model integration.
• Collaborate with the team on AI use cases across workflows, simulation, intelligence, and automation, to ensure high-quality, high-performance delivery.

Team Building & Management

• Lead hiring for our engineering team.
• Mentor, support, and grow a high-performing engineering culture.
• Implement lightweight, scalable processes for task management, delivery, and collaboration.

Quality & Delivery

• Own the engineering roadmap and work closely with product leadership to prioritize initiatives.
• Conduct code reviews and provide technical oversight to ensure high standards.
• Drive continuous improvement across engineering workflows, velocity, and reliability.

Requirements

• Bachelor’s or Master’s degree in Computer Science (or related field).
• 10+ years of experience in software engineering, including 2+ years in a technical leadership role.
• Deep experience developing enterprise-grade AI tools, systems, or capabilities for large U.S. companies.
• Experience in a consulting/agency/studio/client delivery environment is required for this role. In-house only experience will not be considered for this specific role.

What We’re Looking For

• Expertise in AI/ML/back-end and/or full-stack development, including API design, cloud services, and modern frameworks.
• Hands-on experience with Python-based AI applications, especially integrating LLMs via APIs (e.g. OpenAI, Hugging Face).
• Expertise AI application tooling like LangChain, vector databases, or RAG workflows.
• Strong understanding of DevOps fundamentals, such as Docker, CI/CD, and cloud deployments (Azure/AWS/GCP).
• Comfortable balancing speed and quality, with a bias for action and iteration.
• Advanced English fluency and strong communication skills.

What You’ll Get

• The opportunity to build the engineering culture and capability of a company focused on deploying real-world AI solutions.
• A high-impact leadership role where your decisions will shape how we design and deliver AI products for some of the world’s largest companies.
• A collaborative team of AI strategists, designers, and business builders to partner with.
• A chance to be part of one of the US and Europe’s most forward-thinking innovation consultancies, now going all-in on AI.