Head of Engineering

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Take charge of the architecture and engineering quality for each client project, from the initial prototype to the final production within the client's environment.

• Define solution architecture across various models, clouds, and platforms.

• Make informed decisions on building, purchasing, or configuring solutions for client CTOs.

• Establish engineering standards for the evaluation of AI outputs, security, data governance, observability, and production reliability.

• Create reusable components, patterns, and internal products.

• Act as BOI's senior technical representative in discussions with client CTOs, CIOs, and business leaders.

• Articulate technical decisions in terms of cost, risk, and value.

• Lead security, compliance, and procurement reviews for clients.

• Work directly within client environments alongside their teams.

• Define the scope and estimate builds for proposals in collaboration with Directors of Applied AI.

• Transform completed work into case studies, reusable intellectual property, and technical thought leadership.

• Mentor, coach, and expand the engineering team, aiming to double its size in the coming year.

• Set high expectations, provide constructive feedback, and ensure generous recognition of achievements.

• Implement AI-first methodologies across engineering practices.

• Collaborate with the leadership team in the US and Europe to help build BOI.

⛳️ Requirements

• Experience in deploying AI systems to production at an enterprise scale, within environments that have strict security, compliance, and data constraints.

• Background in leading engineering efforts within a consultancy, agency, or project-based setting.

• Adaptability to changing work conditions and familiarity with technology stacks not personally chosen.

• Experience founding a company or being an early member of a startup.

• Capability to build both the team and the systems effectively.

• Aptitude for making sound decisions even when not all information is available.

• Skill in conveying technical choices to non-technical executives in straightforward language.

• Proficiency with cloud environments such as Azure, AWS, and Google Cloud.

• Knowledge of AI output evaluation, security, data governance, observability, and production reliability.

• Proven experience leading client security, compliance, and procurement reviews.

🏝️ Benefits

• Comprehensive health benefits.

• 401(k) plan.

• 25 days of paid time off (PTO).

• Hybrid work arrangement (for those based in NYC).

• Support for professional development.

• Opportunity to collaborate with some of the world's top AI practitioners on impactful enterprise transformations.

• Freedom to prototype, experiment, and explore the limits of AI capabilities.

• Chance to work across various models and cloud platforms, utilizing the best tools and adapting to new advancements as they emerge.