AI use among architectural and engineering managers is little observed so far. Measured exposure for architectural and engineering managers: 3% (little observed).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Our client, an AI-driven infrastructure company, are hiring a hands-on Head of Engineering to join their team in New York. The successful candidate will take ownership of the company’s technical vision and architecture, helping the organization to build reliable, production-grade AI infrastructure designed to scale across increasingly complex enterprise environments.

Responsibilities

Own the long-term technical strategy, architecture and engineering roadmap for the company’s AI-native platform.

Build, develop and lead a high-performing engineering team as the business scales.

Establish engineering standards and development practices that promote quality, accountability and ownership.

Lead the development of document processing, contract analysis, invoice verification and autonomous AI agent capabilities.

Design scalable infrastructure for processing large volumes of structured and unstructured enterprise data.

Ensure the platform remains secure, resilient, scalable and capable of meeting complex enterprise requirements.

Partner with the CEO and commercial leadership to align technical priorities with customer needs and business objectives.

Remain hands-on with architecture and complex technical decisions, providing guidance and challenge where required.

Communicate the company’s technical vision to customers, prospects, partners and investors.

Balance rapid product development with the robust technical foundations required for long-term growth.

Skillset

Extensive hands-on software engineering experience, with a strong track record of building and deploying production systems at scale.

Experience working within an early-stage, high-growth or rapidly scaling technology company.

Proven experience hiring, developing, and leading high-performing engineering teams.

Strong expertise in designing, building, and operating production-grade AI and LLM applications.

Hands-on knowledge of RAG, LLM orchestration, AI agents and evaluation frameworks.

Experience developing data-intensive platforms that process large volumes of structured and unstructured data.

Strong knowledge of backend architecture, data pipelines, distributed systems, and search technologies.

Experience building enterprise software with a focus on security, compliance, integrations and multi-tenant architecture.

The technical depth to review code, assess architectural decisions and work closely with senior engineers on complex challenges.

Strong commercial awareness with the ability to translate business requirements and customer needs into an effective technical strategy.

Benefits

Salary: $220k - $250k.

Equity.