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AI Engineering Architect

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.

Skills

  • LLM application development
  • Agentic coding workflows
  • RAG
  • Evaluation and benchmarking
  • CI/CD
  • Infrastructure decision-making
  • Cross-functional Collaboration

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