2 дня назад
VP of Engineering (AI)
250 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
VP of Engineering (AI): Leading engineering for a reusable platform powering agentic AI workflows in highly regulated financial services with an accent on technical excellence, reliability, auditability, and compliance. Focus on guiding architecture, setting the direction for LLM and agentic AI systems, managing delivery across customer projects, and developing high-performing engineering teams.
Location: New York City / NYC-Metro, United States; hybrid with four days per week in the office
Base compensation: $250,000–$300,000 annually, plus annual bonus and equity.
Company
is an enterprise artificial intelligence company building agentic AI workforces for regulated financial services, with traceable workflows operating within institutional controls and audit boundaries.
What you will do
- Lead the platform engineering team of AI engineers, full-stack engineers, and data scientists building a common substrate for agentic AI workflows.
- Set engineering standards for code quality, testing, documentation, reusability, scalability, and reliability across platform and project teams.
- Provide technical direction for architecture and design, including the evolution of LLM and agentic AI systems.
- Monitor project health, allocate engineering resources, remove delivery roadblocks, and ensure high-quality delivery for customer projects.
- Improve development lifecycles from requirements gathering through deployment across multiple pods.
- Manage, mentor, hire, onboard, and support the performance and career development of engineering team members.
Requirements
- 10+ years of software development experience, including a strong background building ML/AI platforms.
- Experience delivering software that meets high compliance, auditability, reliability, and accuracy standards.
- 5+ years of experience managing and leading engineering teams, including multiple projects or teams.
- Strong product delivery experience across multiple enterprise customers and customer-facing or consultancy experience.
- Proven ability to drive engineering best practices, system reliability, component reusability, and code quality.
- Experience with agile methodologies such as Scrum or Kanban, plus strong communication, prioritization, and conflict-resolution skills.
Nice to have
- Experience managing platform products such as AI platforms rather than point solutions.
- A mix of large-company and startup experience.
- Experience building AI products.
Culture & Benefits
- High-ownership, builder-oriented environment focused on solving difficult problems in regulated financial services.
- Inclusive, collaborative, and psychologically safe engineering culture.
- Opportunity to work on production-ready agentic AI systems for leading global financial institutions.
- Annual bonus and equity in addition to base compensation.
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