AI Software Engineer

Accountabilities

• Lead the implementation and adoption of AI-assisted and autonomous software development practices across engineering teams.
• Deliver strategic, revenue-impacting software enhancements using AI-enabled development workflows combined with human testing, review, and validation.
• Establish and continuously improve standards, governance processes, quality controls, and risk-management practices for AI-generated code.
• Create and maintain engineering playbooks, best practices, operating procedures, and repeatable workflows for AI-enabled software delivery.
• Partner with Engineering, Product, Architecture, and Applied AI teams to align priorities, resolve delivery obstacles, and support successful implementation.
• Develop automated build, testing, validation, and verification frameworks that enable fast, reliable, and high-quality software releases.
• Ensure AI-assisted solutions meet established requirements for software quality, security, compliance, testing, and release management.
• Coach and mentor engineers on effectively incorporating AI tools throughout the software development lifecycle while maintaining strong engineering standards.
• Develop and deliver training sessions, workshops, documentation, and enablement resources to build organizational capability in AI-assisted development.
• Monitor adoption, engineering productivity, quality indicators, and business outcomes to identify opportunities for continuous improvement.
• Contribute to communities of practice that encourage knowledge sharing, experimentation, and consistent adoption of modern engineering methodologies.
• Champion automation, AI-enabled productivity, and modern software engineering practices across the organization.
• Take on increasing technical leadership responsibilities as AI-assisted development practices scale, with potential progression toward a formal leadership role.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent professional experience.
• 5+ years of experience leading software development initiatives within complex enterprise environments.
• Strong foundation in software engineering, application architecture, modern development methodologies, and engineering best practices.
• Hands-on experience with AI-assisted coding tools, developer productivity platforms, intelligent automation, or related technologies.
• Demonstrated success delivering software products using Agile methodologies.
• Deep understanding of software testing, quality assurance, CI/CD pipelines, automated validation, and release management.
• Experience mentoring engineers and leading the adoption of new technologies, tools, processes, or development workflows.
• Ability to balance innovation and delivery speed with software quality, security, compliance, and risk management.
• Strong written, verbal, and interpersonal communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
• Experience developing technical standards, governance frameworks, engineering playbooks, operating procedures, or enablement programs.
• Proven ability to manage multiple priorities, work independently, and deliver measurable business and engineering outcomes.
• Familiarity with security, compliance, and regulated software development environments.

Preferred qualifications:

• Experience implementing AI-first or autonomous software development practices at scale.
• Proven success improving engineering productivity through automation, intelligent tooling, or AI-enabled workflows.
• Experience leading organizational change, engineering transformation, or technology adoption initiatives.
• Strong understanding of human-in-the-loop development models and AI governance frameworks.
• Ability to create repeatable engineering processes that can be adopted consistently across multiple teams.
• Experience coaching engineers on effective collaboration with AI development tools while maintaining engineering excellence.
• Experience building communities of practice, training programs, or organizational capability initiatives.
• Background in highly regulated industries such as healthcare, financial services, or government.
• Experience measuring, analyzing, and communicating the business impact of engineering transformation programs.
• Demonstrated curiosity about emerging AI technologies and the ability to translate them into practical engineering outcomes.

Benefits

• Virtual-first, remote organization and culture.
• Flexible Paid Time Off (PTO).
• 401(k) retirement plan with corporate matching.
• Medical, prescription, vision, and dental coverage with multiple plan options.
• Short-term and long-term disability coverage for employees.
• Life insurance coverage for employees.
• Support for setting up and equipping a home office.
• Opportunity to work on mission-driven technology with meaningful public health impact.
• Opportunities for professional growth and expanded technical leadership responsibilities.