Director, AI Systems & Platform Engineering

Goodwin Procter Boston; Town of Boston (NY); On-site; USD 225,000 - 300,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Life and disability insurance

Retirement & Savings Plan

Emergency back-up child and adult care

Professional development and career advancement opportunities

Job summary

Goodwin Procter Boston is seeking a Director of Engineering to lead its Global Operations Team. The ideal candidate will provide strategic leadership to a high-performing engineering group, focusing on the development of AI-enabled systems. Responsibilities include defining technical roadmaps, overseeing application deployment, and ensuring code quality through rigorous practices.

Candidates should have a strong background in AI architectures and engineering management, alongside excellent communication skills to bridge technical and business teams. This role supports a collaborative culture aimed at continuous innovation.

Qualifications

• 8+ years of progressive engineering experience, with 3+ years in management or leadership.
• Ability to translate high-level business requirements into executable engineering sprints.
• Outstanding communication skills for articulating technical architectures to non-technical stakeholders.

Responsibilities

• Provide leadership to a growing engineering organization.
• Define technical roadmap and engineering standards for AI systems.
• Oversee lifecycle design and production deployment of AI-driven applications.
• Establish engineering metrics for continuous improvement.
• Partner with recruiting for hiring and onboarding strategies.

Skills

AI system architectures

LLM orchestration frameworks

API design

full-stack application development

engineering leadership

Education

Bachelor's or Master's in Computer Science, Engineering, or related field

Job description

Goodwin Procter Boston is seeking a Director of Engineering to lead its Global Operations Team. The ideal candidate will provide strategic leadership to a high-performing engineering group, focusing on the development of AI-enabled systems. Responsibilities include defining technical roadmaps, overseeing application deployment, and ensuring code quality through rigorous practices.

Candidates should have a strong background in AI architectures and engineering management, alongside excellent communication skills to bridge technical and business teams. This role supports a collaborative culture aimed at continuous innovation.