12 дней назад
Sr. Engineering Manager, AI and Agents
188 000 - 301 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Engineering Manager, AI and Agents (AI/LLM): Leading teams that build and operate production LLM systems, agentic experiences, and shared AI platform capabilities with an accent on evaluation, governance, observability, and scalable architecture. Focus on developing reusable agent frameworks and LLMOps practices, optimizing cost, latency, and reliability, and navigating complex technical tradeoffs across products and teams.
Location: CA HQ, United States
Salary: $188,000–$301,000 annually for the Santa Monica office; pay varies by work location.
Company
operates a U.S. prescription savings and healthcare marketplace that helps consumers access affordable medications and healthcare information.
What you will do
- Lead, hire, develop, and scale AI engineering teams and technical leaders across multiple use-case pods and shared platform initiatives.
- Own architecture, delivery, quality, production operation, cost, latency, and reliability for LLM-based systems, agents, and integrations.
- Guide development of shared AI platform capabilities, including evaluation pipelines, behavioral testing, prompt and model management, observability, DLP guardrails, and agent frameworks.
- Partner with Product, Architecture, Legal, Compliance, Security, and business leaders to prioritize work, manage tradeoffs, and establish governance standards.
- Set engineering practices for planning, design reviews, code reviews, on-call operations, incident management, and cross-team dependency management.
- Develop reusable AI engineering standards, patterns, playbooks, and knowledge-sharing practices for safe and scalable adoption.
Requirements
- 12+ years of software engineering experience, including production AI/ML or GenAI systems, and 3+ years managing or leading engineers and engineering teams.
- Experience leading multiple technical engineering teams and leaders in a matrixed organization.
- Deep knowledge of LLM application architecture, including RAG, agents, tool use, prompt engineering, fine-tuning trade-offs, evaluation, MLOps, and LLMOps.
- Hands-on experience shipping and operating production AI services, APIs, orchestration, cloud infrastructure, monitoring, and cost and latency optimization.
- Experience designing AI evaluation and behavioral measurement systems to gate releases and improve quality.
- Bachelor’s degree in computer science or a related technical field, or equivalent experience; strong communication and executive influence skills.
Nice to have
- Healthcare, pharmaceutical, finance, or other regulated-industry experience.
- Familiarity with NIST AI RMF, responsible AI practices, and data protection controls.
- Experience with agentic systems, MCP, enterprise agent platforms, or AI evaluation tooling.
- Experience integrating AI into consumer-scale products.
Culture & Benefits
- Medical, dental, and vision insurance, 401(k) with company match, ESPP, and equity grants for most positions.
- Unlimited vacation, 13 paid holidays, 72 hours of sick leave, and generous parental leave.
- Mental and financial wellness programs, fertility benefits, pet insurance, and supplemental life insurance.
- Company-paid short-term and long-term disability coverage.
- Inclusive workplace focused on diverse teams, accessibility, and reasonable recruiting accommodations.
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