7 часов назад
AI Engineers, Enterprise Lead
200 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineers, Enterprise Lead (Enterprise AI): Leading complex enterprise AI deployments and setting technical direction across architecture, evaluations, integrations, and production operations with an accent on multi-team leadership, customer-facing judgment, and durable business value. Focus on developing technical leaders, debugging live AI systems, improving production reliability, and scaling deployments from pilots to enterprise operations.
Location: Hybrid in San Francisco or New York, with 3+ days per week in-office from Tuesday through Thursday. Travel is typically 20–40%, depending on the project and customer needs.
Base salary: $200,000–$250,000 per year, depending on experience, location, and level, plus meaningful equity and benefits.
Company
is an applied AI technology company that partners with major institutions to build AI-native operations and transform mission-critical workflows.
What you will do
- Lead the technical success of complex enterprise AI deployments across customer engagements, use cases, production systems, and teams.
- Set technical direction across architecture, system behavior, evaluation strategy, integrations, and operational practices.
- Develop AI Engineer Leads, senior individual contributors, and emerging technical leaders.
- Partner with customer executives, enterprise architects, and business stakeholders on delivery risks, tradeoffs, and system limitations.
- Review designs, debug critical issues, guide evaluations, and improve production quality and reliability.
- Partner with company leadership on staffing, organizational design, leadership development, and customer expansion.
Requirements
- 8+ years of software engineering experience, including leadership of technical teams through ambiguous, high-stakes production delivery.
- Experience leading technical execution across multiple teams, workstreams, accounts, or senior engineers.
- Ability to reason across architecture, delivery risk, team capability, customer constraints, system behavior, and production operations.
- Strong understanding of architecture, debugging, testing, observability, performance, maintainability, security, and code quality.
- Clear communication with executives, IT leaders, data teams, and operational subject-matter experts.
- Daily use of AI tools for coding, debugging, design exploration, data analysis, automation, and operational improvement.
Culture & Benefits
- 100% medical, dental, and vision insurance coverage for employees and dependents.
- Flexible time off and retirement and financial planning benefits, including HSA, FSA, commuter accounts, 401(k), and financial coaching.
- Wellness benefits covering fitness, mental well-being, fertility, and family building.
- In-office lunches and snacks, access to advanced AI models, and generous modern AI tooling.
- High-impact projects for major enterprise customers in a fast-moving, mission-driven environment focused on curiosity, pragmatism, and excellence.
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