Job Description
DescriptionWe 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
BenefitsCreativity 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.Originally posted on Himalayas
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
BenefitsCreativity 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.Originally posted on Himalayas
Work mode: remote