Description
We are looking for an AI Engineering Architect to own the internal AI tooling and infrastructure that accelerates product development - agentic coding, evals, automation of engineering workflows.
Key responsibilities
Build and own the AI tooling stack for engineering: agentic coding workflows, evals, permission rules, AI-assisted code review, testing, and deployment automation
Drive and be accountable for the 5x development acceleration target
Identify and remove the biggest AI-addressable bottlenecks in the engineering workflow, in partnership with Engineering leadership
Make and own model/provider selection decisions for engineering tooling (which LLMs, which infra, build vs buy)
Continuously evaluate and roll out new AI-assisted development practices as the tooling landscape evolves
Set up evals/benchmarks to measure whether AI tooling is actually improving velocity (not just adopted)
Requirements
Strong hands-on experience building AI/LLM-powered developer tooling in production (agentic coding, RAG, evals)
Track record of measurably improving engineering velocity through tooling — not just introducing tools, but proving impact
Deep familiarity with modern software delivery (CI/CD, code review practices, testing) to know where AI actually helps vs adds noise
Able to make and defend technical infra decisions (model/provider selection, build vs buy)
Comfortable working directly with engineering leadership and individual contributors
Prior experience as a platform engineer, DevEx lead, or AI/ML infra engineer
Experience with agentic coding tools (Claude Code, Cursor, similar) at scale in an org
Background in eval/benchmark design for measuring tool impact
Benefits
Creativity every day: Make inspiring products for musicians, artists and creators – no day is the same.
Impactful work Influence the future of the music industry and change the lives of millions worldwide.
Work set up: We’ll make sure you’re set up for success with the right work equipment, whether that’s company-provided hardware or an equipment allowance.
Growth and development: Receive specialized training, language lessons, conferences and learning materials.
Team well-being: Support for your mental health and wellbeing, including confidential help during life’s tougher moments.
Summary
Own and build the AI tooling stack that accelerates engineering delivery, including agentic coding workflows, evals, permission rules, and deployment automation, with accountability for a 5x development acceleration target. Requires strong hands-on production experience building AI/LLM developer tooling, a track record of measurably improving engineering velocity, familiarity with CI/CD and testing, and experience with Claude Code or Cursor at scale.
Responsibilities
Build and own the AI tooling stack for engineering (agentic coding workflows, evals, permission rules, AI-assisted code review, testing, deployment automation); drive the 5x development acceleration target; remove AI-addressable bottlenecks with Engineering leadership; own model/provider selection decisions; continuously evaluate and roll out new AI-assisted development practices; set up evals/benchmarks measuring tool impact on velocity.
Qualifications
Strong hands-on experience building AI/LLM-powered developer tooling in production (agentic coding, RAG, evals); track record of measurably improving engineering velocity through tooling; deep familiarity with modern software delivery (CI/CD, code review, testing); able to make and defend technical infra decisions; comfortable working with engineering leadership and ICs; prior platform engineer/DevEx lead/AI-ML infra engineer; experience with agentic coding tools at scale; background in eval/benchmark design.
Benefits
Work equipment or equipment allowance; specialized training, language lessons, conferences, and learning materials; mental health and wellbeing support.