AI Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Software Engineer based in United States.

This role will help shape how modern software is designed, developed, tested, and delivered through AI-assisted engineering practices. You will establish scalable workflows that combine AI-generated code with rigorous human validation, testing, security, and quality controls. The position blends hands-on software engineering with technical enablement, process design, and organizational transformation. You will collaborate across Engineering, Product, Architecture, and Applied AI teams to accelerate delivery while maintaining engineering excellence. A major focus will be developing standards, playbooks, automated validation frameworks, and training programs that enable teams to work effectively with AI. You will also measure adoption and business impact, continuously improving AI-enabled development practices across multiple teams. Over time, the role offers an opportunity to expand into broader technical leadership as autonomous development capabilities mature.

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.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1