Software Engineer, AI & Developer ; Principal - Advisor - Sr Advisor

Date:
Oct 5, 2026

Location:

Houston, TX, US, 77032

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Landmark, a Halliburton business line, provides the industry’s most comprehensive suite of digital solutions for exploration, drilling, and production optimization. Its software and data platforms empower customers to model subsurface assets, manage drilling risk, and accelerate decision‑making through cloud, AI, and advanced analytics.

Landmark is seeking a Principal Software Engineer, AI & Developer Experience to define and build the tools, architectures, and engineering practices that enable software engineers and AI development agents to work together effectively. The role spans the complete software development experience, from local development environments and source repositories through build, test, code review, continuous integration and delivery, and the engineering platforms connecting these activities.

This is a hands‑on technical leadership role at the intersection of software architecture, Developer Experience, and AI‑enabled software development. The successful candidate will lead large‑scale engineering initiatives, create reusable tools and reference implementations, improve complex repositories and development systems, and establish the technical foundations for AI‑enabled software development across Landmark.

• Define the architecture for AI‑enabled software development across Landmark, including how software engineers, AI agents, developer tools, source control, CI/CD systems, and internal engineering platforms work together.
• Establish technical standards for a high‑performing developer environment, including local development, build and test workflows, deterministic environments, repository conventions, documentation, and machine‑readable interfaces for AI development agents.
• Design and build an AI tooling layer that connects engineers and AI agents with source control, collaboration tools, issue tracking, CI/CD, code review, feature management, security, observability, and internal developer platforms.
• Lead hands‑on technical pilots and reference implementations in production software repositories to validate architectural approaches, address complex engineering challenges, and establish repeatable patterns that other development teams can adopt.
• Create automated repository assessments, engineering health indicators, productivity signals, and technical scorecards that identify risks, inconsistencies, and opportunities to improve the developer experience.
• Design, develop, test, troubleshoot, secure, document, and maintain internal developer tools, platform integrations, and engineering automation.
• Develop automated testing and regression strategies that improve software quality, release confidence, and the reliability of AI‑assisted development workflows.
• Apply secure software development practices to engineering tools, repositories, build pipelines, and AI‑enabled workflows, including the identification and remediation of software vulnerabilities.
• Drive adoption of new engineering tools and technical standards by partnering with software‑development teams, gathering feedback, resolving adoption barriers, and continuously improving the developer experience.
• Collaborate with Software Engineering, Architecture, Dev Ops, Platform…