Leader, AI Platform Engineer

The Lead Engineer / Designer, AI Platform Engineering will be responsible for designing, governing, and continuously improving Grantek’s enterprise software development and delivery platforms. This role will own the Software Development Lifecycle (SDLC) and DevSecOps frameworks used across the organization to ensure secure, scalable, and efficient solution delivery.

The Lead Engineer/ Designer will manage the internal development toolchains, reusable code libraries, and automation environments, enabling engineering, consulting, and delivery teams to build consistent, high-quality, and repeatable solutions. This position works closely with IT, Digital Enablement, Engineering, and Delivery teams to support digital transformation and AI initiatives.

Key Responsibilities

Define, implement, and maintain standardized SDLC and DevSecOps frameworks across engineering and software development teams.

Govern and continuously improve enterprise development toolchains, including GitHub Enterprise, CI/CD pipelines, and Infrastructure-as-Code platforms such as Terraform and Pulumi.

Design, build, and maintain reusable AI code libraries and modular components to accelerate software delivery.

Embed security, compliance, and quality controls throughout the development lifecycle using automated testing, code reviews, and version control practices.

Partner with IT and Digital Enablement teams to align infrastructure, licensing, and cybersecurity standards with platform requirements.

Develop and maintain documentation, training materials, and enablement programs to support adoption across teams.

Collaborate with project managers, consulting leaders, and delivery teams to align platform standards with project execution.

Track and report key performance indicators related to platform adoption, deployment velocity, code reuse, and compliance.

Lead continuous improvement initiatives to enhance scalability, reliability, and engineering efficiency.

Research and evaluate emerging technologies, including AI-assisted development tools and automation frameworks.

Mentor and guide technical staff within platform engineering.

Required Qualifications

Senior-level experience in platform engineering, DevOps, or software engineering leadership roles.

Proven experience implementing enterprise-grade SDLC and DevSecOps governance frameworks.

Strong expertise in CI/CD pipelines, Infrastructure-as-Code, and automation practices.

Hands-on experience with GitHub Enterprise, automated testing, and deployment workflows.

Experience with containerization, virtualization, and environment orchestration.

Strong understanding of cybersecurity best practices, compliance requirements, and secure software development.

Experience managing version control, licensing compliance, and intellectual property protection.

Familiarity with AI-as