OB - Lead AI Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a OB - Lead AI Engineer based in Brazil. Lead the engineering of a development pipeline where AI agents implement software changes and engineers focus on reviewing and governing outcomes. You’ll own the systems that make agent-driven development reliable, secure, measurable, and safe to scale. This role sits at the intersection of software engineering, CI/CD, platform reliability, security, testing, and AI-assisted development. Rather than maximizing your own output, you’ll optimize the quality and safety of everything the pipeline produces. You’ll work closely with a U.S.-based engineering team and cross-functional partners across SRE, security, legal, and support. The role offers significant autonomy, executive sponsorship, and the opportunity to shape a new engineering operating model. This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a OB - Lead AI Engineer based in Brazil. Lead the engineering of a development pipeline where AI agents implement software changes and engineers focus on reviewing and governing outcomes. You’ll own the systems that make agent-driven development reliable, secure, measurable, and safe to scale. This role sits at the intersection of software engineering, CI/CD, platform reliability, security, testing, and AI-assisted development. Rather than maximizing your own output, you’ll optimize the quality and safety of everything the pipeline produces. You’ll work closely with a U.S.-based engineering team and cross-functional partners across SRE, security, legal, and support. The role offers significant autonomy, executive sponsorship, and the opportunity to shape a new engineering operating model. Accountabilities Own the knowledge plane, including project conventions, reusable agent procedures, source indexing, and enforcement mechanisms that ensure AI agents consistently follow established engineering standards. Build artifact-based verification gates that validate what actually changed, including test modifications, coverage of new code paths, and protected controls around tests and CI configuration. Design secure authority and identity models based on least privilege, short-lived credentials, controlled scope, and clear attribution linking every change to a person, agent, and task. Develop and continuously calibrate autonomy tiers that route changes according to reversibility and risk, allowing low-risk changes to proceed automatically while applying stronger controls to high-impact or irreversible changes. Engineer containment mechanisms such as circuit breakers, workflow limits, progressive exposure, rollback capabilities, and ceilings for tokens, execution time, retries, and concurrency. Own intake and measurement systems, including request routing, deduplication, reproduction context, gate logging, and evaluation harnesses that demonstrate whether configuration changes improve outcomes. Establish an evidence-based improvement process using incident records, measurable thresholds, and recurring reviews of the cost and value of individual rules. Collaborate with engineering, SRE, security, legal, support, and other teams to establish the policies and operating practices required for safe agentic development. Continuously challenge existing controls and remove rules that no longer provide sufficient value, treating simplification and removal as important engineering outcomes. Provide technical leadership and establish the standards by which AI-generated software changes are evaluated, governed, and safely deployed. Requirements 10+ years of software engineering experience, including deep hands-on experience building and operating CI/CD pipelines and engineering platforms. Strong software engineering fundamentals and the ability to confidently read, evaluate, and govern production-quality code. Proven experience owning systems and pipelines that other engineers depend on, including responsibility for reliability and incident resolution. Strong security instincts and practical understanding of least privilege, credential management, blast radius, untrusted input, and access-control risks. Advanced testing judgment, including experience evaluating test quality, reliability, coverage, and flakiness through measurable evidence rather than assumptions. Hands-on experience with agentic coding tools used on real engineering work, with a clear understanding of their strengths, limitations, and failure modes. Strong understanding of CI/CD, platform engineering, automation, production reliability, and software delivery workflows. Ability to operate effectively across functions and influence stakeholders in areas such as SRE, security, legal, and support. Excellent written and spoken English communication skills, with the ability to clearly document conventions, procedures, incidents, policies, and technical decisions. Strong analytical judgment, intellectual curiosity, and willingness to continuously challenge assumptions and recalibrate systems based on evidence. Comfortable working in an environment where the system is continuously evolving and success depends on preventing failures that have not yet occurred. Based in Latin America, with sufficient timezone overlap to collaborate daily with a U.S.-based engineering team. This role is particularly suited to an engineer who wants to build and govern the infrastructure around AI-driven software development rather than focus primarily on AI models or prompt engineering. Benefits Full-time, dedicated engagement with genuine ownership of a strategic engineering system. Executive sponsorship and protected focus on the AI-driven development operating model. Clear scope focused on building safe, measurable automation rather than carrying a separate feature roadmap. Opportunity to shape a new approach to software development where AI agents handle implementation and engineers govern outcomes. High-leverage work where engineering standards and controls can continuously improve every change passing through the pipeline. Curated community of high-caliber, values-driven technology professionals. Access to a broader engineering talent network, shared expertise, and knowledge resources. Meaningful strategic work with a strong focus on clarity, velocity, outcomes, and sustainable performance. Remote opportunity for professionals based in Latin America. 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). 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