[Hiring] Senior Director, Software Engineering @Evolent

Role Description

The Sr. Director of AI Platform Engineering leads the engineering teams supporting Evolent's enterprise AI platform initiatives, focusing on three capability areas:

• Document pipeline
• Event-driven architecture
• Agentic user interfaces

The role is accountable for engineering execution in these areas, including:

• Staffing the teams
• Delivering the software
• Operating it in production

This is a build-the-team-while-you-build-the-platform role, requiring equal strength in enterprise-scale delivery judgment and in hiring, organizing, and developing engineering talent under delivery pressure.

Architectural direction and platform design standards are set in partnership with Enterprise Architecture. The Sr. Director partners closely with:

• Architecture
• Product
• Data Engineering
• Security
• Core system engineering teams

The Sr. Director fosters a culture of quality, customer obsession, product mindset, and technical excellence.

Qualifications

• Bachelor's degree in computer science, software engineering, or equivalent experience.
• 12+ years of software engineering experience, with at least 7+ years in leadership roles managing large, distributed teams.
• Proven track record of delivering complex, enterprise-scale software projects on time and within budget.
• Demonstrated experience building engineering teams as part of a new initiative.
• High technical acumen, with the ability to influence technical strategy beyond immediate team scope.
• Strong technical expertise in software architecture, API development, and system integration.
• Experience using AI-assisted development platforms such as GitHub Copilot, Cursor or similar tools.
• Experience establishing effective engineering operating models and implementing agile methodologies.
• Exceptional leadership and team-building skills.
• Strong business acumen, with the ability to align technical strategies with organizational goals.
• Outstanding communication, collaboration, and stakeholder management skills.

Requirements

• Utilize approved AI-assisted engineering tools to accelerate software development, testing, documentation, troubleshooting, and analysis activities.
• Ensure AI-generated outputs are evaluated and validated for correctness, security, maintainability, compliance, and business appropriateness.
• Continuously identify opportunities to improve engineering productivity and solution quality through AI-enabled workflows and automation.
• Contribute reusable prompts, workflow templates, engineering playbooks, and AI-assisted development patterns.
• Deliver systems that leverage AI services, APIs, agents, and automation capabilities.
• Follow and enforce enterprise policies governing AI usage, intellectual property protection, security, privacy, and Responsible AI practices.
• Establish peer review and validation processes for AI-assisted solutions.

Benefits

• Comprehensive benefits including health insurance.
• Work/life balance and flexibility.
• Autonomy to get things done.
• Diversity and inclusion as core values.