We are looking for for an AI Solutions Engineer with a proven track record at a top-tier technology company and deep expertise in developer productivity frameworks (DORA, SPACE, DevEx, Core 4). This role goes beyond traditional advocacy: you will design and implement AI-powered solutions that dramatically amplify developer productivity across the organization. By combining hands-on solution engineering with strategic leadership, you will help us redefine what’s possible in modern software development.

Key Responsibilities

Architect & Implement AI Solutions
Identify and integrate cutting-edge AI tools into the developer workflow, from automated code reviews to intelligent build pipelines.
Design end-to-end solutions that leverage AI to streamline developer tasks, enhance collaboration, and reduce time-to-market.
Champion Developer Productivity
Drive adoption of developer productivity metrics (DORA, SPACE, DevEx, Core 4) and continuously iterate on solutions to improve developer velocity.
Partner with engineering leaders to identify challenges and bottlenecks, defining data-driven strategies that amplify team performance.
Tool Adoption & Best Practices
Lead workshops, town hall presentations, and training sessions to promote the usage and ideal practices of AI tools.
Establish and evangelize best practices for AI integration, ensuring that all teams consistently and effectively leverage these solutions.
Data-Driven Analysis & Continuous Improvement
Monitor AI tool usage and performance, synthesizing feedback and metrics into actionable insights.
Continuously refine solutions based on real-world data, fostering a culture of experimentation and ongoing optimization.
Collaboration & Organizational Influence
Work closely with cross-functional teams—including DevOps, QA, and product management—to align AI initiatives with broader engineering goals.
Influence stakeholders and executive leadership by quantifying the ROI of AI-driven developer productivity initiatives.

Qualifications

Developer Productivity Expertise: In-depth knowledge of DORA, SPACE, DevEx, Core 4, and a demonstrable history of deploying these metrics to meaningfully improve team performance.
Solution Engineering Background: Experience designing, implementing, and scaling AI-based solutions to dramatically accelerate developer workflows.
Top-Tier Tech Experience: Proven success at a leading technology company, with a track record of advising and influencing engineering teams at scale.
Strong Communication & Training Skills: Ability to lead large-scale training, deliver compelling presentations, and mentor technical teams.
Analytical & Data-Driven: Adept at collecting, interpreting, and acting on productivity metrics and feedback loops to inform iterative improvements.

Preferred Skills

AI/ML Integration: Familiarity with model development, deployment, and integration that align with developer workflows and enterprise systems.
Technical Tooling & Automation: Hands-on experience with CI/CD pipelines, automation frameworks, and developer tooling to support AI-driven solutions.
Workshop Facilitation: Proven ability to plan and conduct workshops, hackathons, or hands-on labs that accelerate tool adoption and skill-building.
Strategic Mindset: Capacity to align AI-driven productivity initiatives with the organization’s business objectives and long-term innovation goals.

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