Principal Experience Engineer

As a Principal Experience Engineer, you will define and own the AI SDLC system, collaborating with teams to enhance workflows, quality, and the effective use of generative AI tools in software development., This is a role for engineers who want to shape how software gets built. As a Principal Experience Engineer, you will help define, drive, and own the Agentic SDLC system that powers Experience Engineering - the workflows, tools, and guardrails our engineers use every day to ship with AI. You will stay at the leading edge of agentic SDLC, bring the best practices back in, and evolve our system so engineers move faster without trading away quality or craft. You will also partner closely with UX, UI, and QA Principal Architects to turn their direction into real outcomes - working hands-on with teams to unblock delivery, guide implementation, and make sure standards show up in the product, not just the doc. We are an AI-first organization, and this role is at the center of how we get there.

What you will do:

• Define, build, and own the AI SDLC system for Experience Engineering - the agentic workflows, tooling, and guardrails our engineers rely on to ship
• Stay ahead of the industry on agentic SDLC best practices and bring them into our system, continuously raising the bar for how we build
• Maintain and evolve the system so it keeps working as models, tools, and team needs change - this is a living platform, not a one-time rollout
• Enable engineers across teams to get real leverage from AI - through patterns, examples, and hands-on support, not just documentation
• Partner with UX, UI, and QA Principal Architects to translate their direction into clear patterns and practices teams can follow
• Work shoulder-to-shoulder with teams to guide implementation, support hard decisions, and unblock complex work
• Reinforce quality ownership inside teams so testing and validation are part of everyday delivery, not a final gate
• Spot gaps between standards and reality, and close them with the teams doing the work
• Mentor engineers across the org and raise the overall standard of craft and delivery
• Use delivery metrics, quality signals, and direct feedback to drive continuous improvement

Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge., * Education: Bachelor's degree in Computer Science, Design, or a related field; equivalent work experience is accepted in place of a degree

• Experience: 8+ years of professional experience across frontend engineering, experience design, and quality, including work across multiple teams
• Engineering skills: Demonstrated ability to build and guide development of production-ready interfaces using modern frontend frameworks (e.g. React, Vue, Angular, or similar)
• Quality skills: Strong experience with automated testing approaches and maintaining quality within CI/CD pipelines
• UX skills: Strong understanding of user experience and the ability to guide teams toward consistent, usable outcomes
• Demonstrated experience using AI-assisted development tools in a professional setting and guiding others in their use
• Comfortable using generative AI tools (e.g. Microsoft Copilot, GitHub Copilot, ChatGPT) to assist with code generation, test writing, and experience design
• Able to evaluate AI-generated outputs critically, including reviewing code, tests, and interactions for correctness, accessibility, and maintainability
• Open to continuously adopting new AI capabilities as they emerge in the engineering and design workflow.
• Preferred Skills:

• Experience working across multiple teams or product areas
• Familiarity with shared patterns, design systems, or component libraries
• Experience mentoring engineers beyond a single team
• Exposure to observability tools (LogRocket, Heap, Datadog, Sentry, etc.)
• Exposure to backend systems or APIs to support collaboration on integration and testing

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