Senior Director of Software Engineering - AI Development | Engineering Services & Platforms
Salary not listed • Columbus, OH, United States • Full-time
Posted 1mo ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
About the job
We are seeking a Senior Director of Software Engineering to lead a greenfield opportunity focused on solving Software Dependency Risk within financial services. As AI-assisted development accelerates the adoption of open-source and commercial packages, understanding software dependencies is critical. This role will build and lead a firm-wide platform providing visibility into dependency health for thousands of applications and developers. You will own the engineering organization end-to-end, drive the platform roadmap, and make key architectural decisions on a modern AWS and Java stack. A core part of this role is building an AI-first engineering culture, setting strategy for agentic AI-enabled engineering, and embedding AI tools into the software development lifecycle to improve speed, reliability, and code quality.
Responsibilities
- Build and lead the engineering team, including hiring, structure, culture, and performance.
- Own the engineering organization for the Dependency Explorer platform end-to-end.
- Partner closely with product managers and designers to ship a cohesive, high-quality product.
- Drive the platform roadmap and lead the delivery of core platform components.
- Make and own key architectural decisions on a modern AWS and Java stack.
- Build an AI-first engineering culture and set standards for AI-augmented engineering teams.
- Set strategy and operating standards for agentic AI-enabled engineering across a portfolio.
- Apply knowledge of AI-assisted development and automation capabilities to improve value realization.
- Build an agentic-first development practice, embedding AI tools into design, coding, review, and shipping processes.
- Lead with influence across the organization, building relationships and credibility with cross-functional teams.
- Represent engineering in discussions with security, risk, compliance, and platform partners.
- Translate deep technical work into business impact for senior stakeholders.
Requirements
- 10+ years of applied software engineering experience with formal training or certification.
- 5+ years of experience leading technologists to solve complex technical items.
- Experience leading multi-organization adoption of agentic AI-enabled engineering operating models.
- Experience defining governance, measurement frameworks, and secure handling of sensitive inputs/outputs for AI adoption.
- Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale.
- Demonstrated ability to advise senior leaders on safe AI adoption, portfolio governance, and reuse-first strategies.
- Proven track record of shipping Version 1 products from concept to iterative improvement.
- Genuine enthusiasm for and practical experience with AI-first development practices using LLMs and agentic tools.
- Experience developing or leading large or cross-functional teams of technologists.
- Demonstrated prior experience influencing across highly matrixed, complex organizations.
- Experience leading complex projects supporting system design, testing, and operational stability.
- Experience with hiring, developing, and recognizing talent.
- Extensive practical cloud-native experience with AWS.
- Experience in customer-facing, data-intensive products is preferred.
- Financial services or other regulated industry experience is a plus.