Director of Engineering, AI Engineering

Red Ventures is a global portfolio of high-growth companies, and they are seeking a Director of Engineering to lead their Central AI Engineering team. This role focuses on transforming software delivery through agentic workflows and AI-first engineering practices, while also providing technical leadership and driving strategic alignment across teams.

Responsibilities:

• Lead adoption of agentic workflows and AI-first delivery models across client delivery teams
• Build shared services, accelerators, and reusable patterns that materially reduce delivery timelines
• Measure and continuously improve delivery efficiency, quality, and consistency
• Ensure agentic systems are reliable, maintainable, and applied with clear leverage
• Define and scale AI-assisted development practices (Cursor, Windsurf, agent frameworks)
• Partner closely with delivery teams to understand friction points and build solutions that drive adoption
• Develop compelling business cases for technology investments in agentic systems and AI infrastructure
• Quantify impact through metrics like delivery time reduction, quality improvements, and team velocity gains
• Communicate technical strategy and ROI to senior leadership and stakeholders
• Influence resource allocation and prioritization across competing initiatives
• Translate technical capabilities into business value that resonates with non-technical audiences
• Set architectural direction for agentic systems, accelerators, and shared AI services
• Ensure systems are modular, secure, observable, and production-ready
• Uphold strong engineering discipline while balancing innovation and pragmatism
• Provide hands-on guidance to Senior and Staff engineers when needed
• Define standards across Python, JavaScript/TypeScript, testing, CI/CD, and MLOps
• Hire, develop, and retain AI engineers
• Set clear expectations, career paths, and growth plans
• Foster a culture of accountability, curiosity, experimentation, and delivery
• Coach teams to operate effectively in ambiguous, fast-moving environments
• Build a team that thinks like internal entrepreneurs; focused on customer (delivery team) adoption and impact
• Act as a trusted partner to delivery teams, Product, Design, and Data leadership
• Translate business strategy into executable technical plans
• Communicate tradeoffs, progress, and impact to senior leaders with clarity and conviction
• Influence effectively in a matrixed organization where adoption matters as much as technical execution
• Build coalitions and drive alignment across stakeholders with competing priorities

Requirements:

• 10+ years of engineering experience, including leadership of high-performing teams
• Experience building and operating production AI, ML, or data-driven systems
• Strong software architecture and technical judgment
• Track record of improving delivery velocity and engineering maturity through platform or tooling investments
• Proven ability to build investment cases and secure buy-in for technology initiatives
• Strong influential communication skills—ability to communicate technical concepts to both technical and non-technical audiences
• Experience with modern AI stacks, including LLMs, agent frameworks (LangChain, LangGraph), and ML platforms
• Strong Python experience; familiarity with JavaScript and TypeScript
• Experience with Databricks, MLflow, and modern data platforms
• Understanding of traditional ML and how it complements generative AI