This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineering Systems Lead based in United States.
The AI Engineering Systems Lead will define and build the internal engineering infrastructure that enables teams and AI agents to create reliable, scalable, and production-ready software.
This role sits at the intersection of artificial intelligence, software architecture, developer tooling, and engineering productivity.
You will design systems that make software quality enforceable through automation, intelligent workflows, and technical guardrails rather than relying solely on human processes.
Working with a highly technical engineering organization, you will shape how modern AI-native development practices are implemented at scale.
The position offers the opportunity to experiment with emerging AI technologies, build foundational systems, and influence the future of software engineering workflows.
This is a high-impact role for an engineer who enjoys solving complex problems, challenging assumptions, and creating tools that make other engineers more effective.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineering Systems Lead based in United States.
The AI Engineering Systems Lead will define and build the internal engineering infrastructure that enables teams and AI agents to create reliable, scalable, and production-ready software.
This role sits at the intersection of artificial intelligence, software architecture, developer tooling, and engineering productivity.
You will design systems that make software quality enforceable through automation, intelligent workflows, and technical guardrails rather than relying solely on human processes.
Working with a highly technical engineering organization, you will shape how modern AI-native development practices are implemented at scale.
The position offers the opportunity to experiment with emerging AI technologies, build foundational systems, and influence the future of software engineering workflows.
This is a high-impact role for an engineer who enjoys solving complex problems, challenging assumptions, and creating tools that make other engineers more effective.
Accountabilities:
- Build and evolve autonomous coding pipelines that transform engineering requests into reviewed, production-ready code changes.
- Improve AI-assisted development workflows by increasing reliability, scalability, observability, and automation across engineering processes.
- Own and advance root-cause analysis systems that investigate complex issues across large codebases and continuously improve through evaluation frameworks.
- Develop and maintain evaluation systems that measure AI-generated solutions against real engineering outcomes and continuously improve model performance.
- Create and extend architectural enforcement systems, including automated checks, runtime protections, type systems, CI validations, and development hooks.
- Build developer tooling that encourages test-driven development and improves engineering confidence for both human developers and AI agents.
- Design and enhance quality and security guardrails that detect, prevent, and block problematic changes before production deployment.
- Establish engineering standards through automation rather than documentation alone, ensuring architectural principles remain consistently enforced.
- Partner with engineers across teams to identify opportunities for AI-driven improvements and remove friction from development workflows.
- Experiment rapidly with emerging AI technologies, measure results, and iterate based on data and practical outcomes.
- Share learnings, failures, and technical discoveries to help strengthen engineering practices across the organization.
- Strong systems-thinking mindset with the ability to use architecture patterns, type systems, automated checks, and testing strategies to prevent entire categories of problems.
- Proven experience building with AI-assisted development tools, autonomous agents, or AI-driven engineering workflows.
- Strong programming fundamentals and experience with languages such as Java, JavaScript, or similar technologies.
- Experience developing developer tooling, CI/CD systems, automation frameworks, orchestration workflows, or engineering platforms.
- Ability to design reliable systems that account for AI limitations, failure modes, and unpredictable behavior.
- Experience building prototypes, testing new ideas quickly, and using experimentation to guide technical decisions.
- Strong understanding of software quality practices, testing strategies, and scalable engineering processes.
- Ability to work independently, prioritize effectively, and take ownership of complex technical challenges.
- Curiosity, continuous learning mindset, and enthusiasm for exploring emerging technologies.
- Salesforce and Apex development experience is a plus but not required.
- Must be authorized to work in the United States; visa sponsorship is not available.
- Competitive compensation package including base salary, annual bonus, and long-term incentive plan (LTIP).
- Compensation level based on experience, technical impact, and demonstrated achievements.
- Fully remote work environment for US-based employees.
- Opportunity to work on cutting-edge AI engineering systems with significant organizational impact.
- Access to advanced AI development tools, including Claude licenses, Salesforce AI tooling, approved API resources, and experimentation budgets.
- Ability to influence how modern software engineering teams build, test, and deploy AI-assisted applications.
- High-autonomy environment with opportunities to experiment, innovate, and rapidly iterate.
- Collaborative culture focused on learning, knowledge sharing, and continuous improvement.
- Opportunity to work alongside experienced engineers solving complex technical challenges.
- Encouragement to share technical projects, prototypes, demos, and open-source work as part of the application process.
The AI Engineering Systems Lead will own the design, development, and evolution of internal systems that enable faster and more reliable software delivery through AI-powered engineering workflows. This role requires a systems-oriented mindset, strong technical judgment, and the ability to turn engineering principles into automated, enforceable solutions.
Requirements:
The ideal candidate is a technically strong engineer who understands software systems deeply and is passionate about building the next generation of AI-enabled engineering environments. You should enjoy experimentation, automation, and creating solutions that improve how teams build software.