Description review
AI Engineering Architect
Muse Group · Cyprus · back to the listing
HR standards
52/100
needs work
Title ↔ description
68/100
needs work
Reads as
Software Architect
80% confident
What this role officially is
software architect — ESCO, the EU occupation classification
Software architects create the technical design and the functional model of a software system, based on functional specifications. They also design the architecture of the system or different modules and components related to the business' or customer requirements, technical platform, computer language or development environment.
Also known as: software architects, software designer, application architect
How others title the same work
Large employers
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- Senior/Staff/Principal Engineer Canonical Ltd.
- Senior Staff Software Engineer - Blockchain Platform Coinbase
- Solutions Architect, Scaled Operations AI Accelerator Team Meta
- Distinguished, Enterprise Architect Salesforce
Startups
- Staff Software Engineer Curri
What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
Originally posted on Himalayas
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.
Originally posted on Himalayas