16 часов назад
Sr. Staff Engineer – AI Enablement & Engineering Excellence (AI)
130 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Staff Engineer – AI Enablement & Engineering Excellence (AI) (LLM/AI-assisted development): Defining and scaling AI-assisted software development across a large engineering organization with an accent on tooling strategy, AI-integrated system design, and engineering standards. Focus on evaluating developer tools, building adoption frameworks and reference implementations, and solving cost, latency, quality, security, and observability challenges.
Location: Hybrid in Palo Alto, California, United States
Annual salary: $130,000–$260,000
Company
is a large United States auto insurer and a member of the Berkshire Hathaway family of companies.
What you will do
- Own the organization-wide strategy for applying AI across the software development lifecycle.
- Pilot and operationalize AI pair programming, LLM-assisted code review, automated test generation, intelligent observability, and agentic development workflows.
- Design adoption frameworks and metrics covering productivity, code quality, security, cost, and developer experience.
- Provide architecture guidance for systems integrating LLMs, AI agents, and ML models into production software.
- Define standards for prompt engineering, evaluation, latency, cost tradeoffs, and observability of AI-enabled tools.
- Partner with engineering leaders to improve test coverage, CI/CD, observability, code ownership, and architectural consistency.
Requirements
- 10+ years of software engineering experience, including 3+ years focused on AI/ML tooling, LLM integration, or AI-assisted development workflows.
- Production-level experience with AI developer tools such as GitHub Copilot, Cursor, LLM-powered code review, or test generation.
- Deep understanding of LLM fundamentals, including prompt engineering, context management, fine-tuning tradeoffs, and evaluation.
- Experience designing and shipping AI-integrated systems at scale while managing cost, latency, and quality tradeoffs.
- Ability to drive technical adoption across large engineering organizations without direct authority.
- Strong written and verbal communication skills for explaining technical tradeoffs to engineers and senior leaders.
Nice to have
- Principal- or staff-level individual contributor experience with cross-organizational scope.
- Experience building internal AI enablement programs, developer experience platforms, or AI governance frameworks.
- Contributions to AI/ML open-source projects or technical writing on AI engineering topics.
- Background in platform engineering or AI-focused developer tooling.
Culture & Benefits
- Personalized development programs, mentorship, and certification assistance.
- Inclusive and collaborative culture centered on shared success.
- Competitive pay, benefits, and flexibility supporting employee well-being.
- will consider sponsoring a new qualified applicant for employment authorization.
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