Principal Architect, AI & Developer Productivity

Quota Crushers Agency - Sales Recruiters

Austin (TX)

Hybrid

USD 170.000 - 230.000

Vollzeit

Vor 8 Tagen

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Zusammenfassung

Quota Crushers Agency - Sales Recruiters in Austin, TX, seeks a Principal Architect, AI & Developer Productivity to lead the design and deployment of AI-powered engineering tools across a large software portfolio.

This is a hands-on technical leadership role with a track record deploying AI-assisted development tools that boost productivity, software quality, and cycle time. Hybrid work model: 2–3 days in office; US work authorization required.

Qualifikationen

  • 10+ years of experience in software architecture, engineering, developer productivity, or enterprise technology.
  • Proven experience deploying AI-assisted development tooling across multiple engineering teams.
  • Hands-on experience with at least two tools such as GitHub Copilot Enterprise, Cursor, Claude Code, Kiro, or similar.
  • Strong knowledge of LLMs, prompt design, RAG, model evaluation, cost optimization, and AI security.
  • Deep experience with modern CI/CD platforms and cloud-native architecture.
  • Strong background in APIs, distributed systems, observability, and developer platforms.
  • Ability to influence senior technical stakeholders and communicate effectively with executives.

Aufgaben

  • Define and implement an enterprise-wide AI-assisted development platform.
  • Architect workflows across coding, code review, testing, security, documentation, and CI/CD.
  • Evaluate and implement tools such as GitHub Copilot Enterprise, Cursor, Claude Code, and similar platforms.
  • Build model and vendor-agnostic architecture to reduce platform lock‑in.
  • Establish AI security, IP protection, data leakage prevention, and governance standards.
  • Measure developer productivity, software quality, cost, and ROI.
  • Manage AI tooling costs, token usage, and vendor strategy.
  • Partner with engineering, product, security, legal, compliance, and procurement teams.
  • Mentor senior engineers and technical leaders on AI-assisted development.

Kenntnisse

LLMs
Prompt design
RAG
Model evaluation
Cost optimization
AI security
CI/CD
Cloud-native
APIs
Distributed systems
Observability
Developer platforms

Tools

GitHub Copilot Enterprise
Cursor
Claude Code
Kiro

Jobbeschreibung

Work Model: Hybrid, 2 to 3 days in office

Compensation: $200,000 base salary + bonus

Employment Type: Full-time

(Recruiting for our client, a leader in the software space)

We are hiring a Principal Architect, AI & Developer Productivity to lead the design and implementation of AI-powered engineering tools across a large software portfolio.

This is a hands‑on technical leadership role for someone who has successfully deployed AI-assisted development tools into production and can demonstrate measurable improvements in developer productivity, software quality, and cycle time.

Key Responsibilities
  • Define and implement an enterprise-wide AI-assisted development platform.
  • Architect workflows across coding, code review, testing, security, documentation, and CI/CD.
  • Evaluate and implement tools such as GitHub Copilot Enterprise, Cursor, Claude Code, and similar platforms.
  • Build model and vendor-agnostic architecture to reduce platform lock‑in.
  • Establish AI security, IP protection, data leakage prevention, and governance standards.
  • Measure developer productivity, software quality, cost, and ROI.
  • Manage AI tooling costs, token usage, and vendor strategy.
  • Partner with engineering, product, security, legal, compliance, and procurement teams.
  • Mentor senior engineers and technical leaders on AI-assisted development.
What We’re Looking For
  • 10+ years of experience in software architecture, engineering, developer productivity, or enterprise technology.
  • Proven experience deploying AI-assisted development tooling across multiple engineering teams.
  • Hands‑on experience with at least two tools such as GitHub Copilot Enterprise, Cursor, Claude Code, Kiro, or similar.
  • Strong knowledge of LLMs, prompt design, RAG, model evaluation, cost optimization, and AI security.
  • Deep experience with modern CI/CD platforms and cloud-native architecture.
  • Strong background in APIs, distributed systems, observability, and developer platforms.
  • Ability to influence senior technical stakeholders and communicate effectively with executives.

Candidates must be authorized to work in the United States without current or future employer sponsorship.

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