Salary
Not listed
Posted
1h ago
Work setup
Fully Remote
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.
Before you apply
- Confirm async-friendly culture vs daily standup-heavy expectations
- Ask about on-call rotation and incident expectations
- Check the tech stack matches what you actually want to use day-to-day
Interested in this role?
Apply on the original posting. No account required.
Listing via Himalayas
AI Engineering Architect
Muse Group