This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead, AI Engineering & SDLC Automation based in the United States.
This role defines and drives the strategy for AI-enabled engineering automation across large-scale software delivery environments. You will lead initiatives that embed AI agents, copilots, and intelligent workflows directly into the SDLC to improve developer productivity and reduce operational friction. The position sits at the intersection of platform engineering, DevOps, and applied AI, with responsibility for shaping how engineering teams adopt and scale automation safely. You will collaborate across DevSecOps, Developer Experience, Security, QA, IT, and product engineering teams to ensure alignment and adoption. This is a high-impact leadership role focused on turning AI innovation into measurable improvements in delivery speed, quality, and reliability. It is ideal for someone who combines technical depth in engineering systems with strong strategic and organizational leadership.
Accountabilities:
- Lead the AI Engineering & Automation function, defining strategy, roadmap, and execution for AI-enabled SDLC transformation across engineering teams.
- Build and evolve AI-assisted development workflows, including agentic systems, copilots, and automation integrated into CI/CD pipelines and engineering platforms.
- Establish governance frameworks for responsible AI use, including safety guardrails, evaluation standards, and secure integration patterns.
- Partner with DevSecOps, Security, QA, IT, and platform teams to embed AI-driven automation into developer workflows and software delivery systems.
- Define and track success metrics for productivity, adoption, quality, reliability, and developer experience improvements.
- Drive cross-organizational adoption through enablement programs, documentation, training, and feedback-driven iteration.
- Balance competing priorities across speed, cost, security, reliability, and responsible AI implementation to guide roadmap decisions.
Requirements:
- 5+ years of experience leading engineering teams, programs, or cross-functional technical initiatives in complex software environments.
- Strong background in AI-enabled engineering, DevOps, platform engineering, SDLC automation, or developer productivity tooling.
- Experience designing and executing roadmaps that translate strategy into measurable engineering outcomes.
- Hands-on understanding of CI/CD systems, developer workflows, and modern software delivery toolchains.
- Familiarity with AI agents, copilots, or ML-driven automation systems applied to engineering productivity.
- Knowledge of responsible AI practices, governance models, and secure deployment patterns for enterprise environments.
- Proven ability to influence senior stakeholders across engineering, security, IT, and product organizations.
- Strong analytical and communication skills with the ability to drive adoption and behavior change at scale.
Benefits:
- Competitive compensation package with base salary estimated between $168,160 – $315,300 USD, plus bonus and equity eligibility.
- Flexible work arrangements, including remote work options depending on location.
- Comprehensive health coverage, including medical, dental, and vision benefits.
- Bonus, stock, and long-term incentive opportunities tied to performance and impact.
- Inclusive, collaborative engineering culture focused on innovation and continuous improvement.
- Opportunities to shape cutting-edge AI-driven engineering practices at enterprise scale.
- Professional growth in a high-impact leadership role at the forefront of AI and software delivery transformation.