Director, Enterprise AI Platform Engineering

Ascensus; Pennsylvania; Hybrid; USD 170,000 - 220,000; Full time

Job summary

Ascensus seeks a Software Engineering Manager, Enterprise AI Platform to lead a cross-functional team building production‑grade AI‑enabled software. You will mentor engineers, partner with product, architecture, and data science leaders, and stay hands‑on when needed to move fast and maintain quality.

This role focuses on delivering enterprise AI platform capabilities, improving engineering practices, and growing talent within a fast‑moving AI environment.

Qualifications

• 5+ years of professional software engineering experience.
• 2+ years in technical leadership, team leadership, or engineering management.
• Experience leading, coaching, or mentoring software engineers or related technical team members.
• Ability and willingness to stay technically engaged with the team’s codebase, architecture, development workflow, and operational tooling, including occasional hands‑on contribution when needed.
• Strong understanding of modern software engineering practices including clean code, source control, unit testing, CI/CD, design patterns, refactoring, maintainability, and production support.

Responsibilities

• Grow and develop engineering talent.
• Create a high-performance team culture.
• Support delivery of enterprise AI platform capabilities.
• Improve engineering practices across software development, testing, DevOps, support, and operations.
• Partner with product, architecture, AI, business, and technology leaders.
• Help the team move quickly while maintaining quality, security, reliability, and maintainability.
• Occasionally contribute hands‑on to implementation, debugging, automation, technical spikes, or code reviews.

Skills

Software engineering

Technical leadership

Coaching

Hands-on coding

Agile

Education

Bachelor's degree in Computer Science or related field

Job description

Ascensus seeks a Software Engineering Manager, Enterprise AI Platform to lead a cross-functional team building production‑grade AI‑enabled software. You will mentor engineers, partner with product, architecture, and data science leaders, and stay hands‑on when needed to move fast and maintain quality.

This role focuses on delivering enterprise AI platform capabilities, improving engineering practices, and growing talent within a fast‑moving AI environment.