This position will play a key role in advancing our AI journey by driving modernization and efficiency across the delivery lifecycle. This role is focused on helping engineering teams apply AI in practical, measurable ways to improve delivery speed, enhance quality, and reduce operational overhead across development and operational workflows. This is a hands-on technical leadership role that bridges strategy and execution. You will partner closely with engineering, architecture, security, and delivery teams to design, prove, implement, and scale AI-enabled capabilities that strengthen software delivery outcomes. While the primary focus is on advancing software engineering practices and AI-assisted development, the role will also support broader AI adoption across the organization where it aligns to delivery and operational impact. The successful candidate combines deep software engineering expertise, hands-on experience applying AI technologies to real-world engineering challenges, strong delivery discipline, and practical change leadership. You will help teams adopt AI responsibly by developing reusable playbooks, implementation patterns, and guardrails, along with validation approaches and human-in-the-loop workflows to ensure AI-enabled solutions are secure, compliant, high-quality, and maintainable, aligned with MCAP’s vision, mission, objectives, and values.
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Job Type
Full-time
Career Level
Director