1 день назад
Core AI Platform Architect (AI) - Vice President
170 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Core AI Platform Architect - Vice President (AI): Building and delivering production-grade AI systems, including document intelligence, knowledge systems, agentic orchestration, conversational AI, and generative AI applications, with an accent on architecture, evaluation, and scalable deployment. Focus on designing reliable AI platforms, building statistically sound evaluation frameworks, operating machine learning pipelines, and translating ambiguous business needs into measurable production solutions.
Location: New York, New York, United States; hybrid schedule with office attendance Monday–Thursday and remote work available on Friday.
Base salary: $170,000–$210,000 per year, plus equity and an annual performance bonus.
Company
operates in financial technology and develops technology-enabled investment and wealth management solutions.
What you will do
- Lead the architecture and delivery of production-grade AI systems, including document intelligence, knowledge systems, agentic orchestration, conversational AI, and generative AI applications.
- Own AI projects from problem scoping and stakeholder alignment through design, implementation, deployment, monitoring, and continuous improvement.
- Define technical architecture, API design, system decomposition, infrastructure patterns, and AI evaluation strategies.
- Build evaluation frameworks with problem-specific metrics, benchmark datasets, versioning, and reproducible results.
- Partner with Product, Operations, Legal, and Business stakeholders to identify opportunities and communicate technical tradeoffs.
- Mentor engineers, conduct code and design reviews, and improve tooling, infrastructure, and development velocity.
Requirements
- 7+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms.
- Strong Python and software engineering skills, including source control, CI/CD, testing, documentation, and scalable software development.
- Hands-on experience with LLM applications, AI agents, retrieval-augmented generation, conversational AI, document intelligence, agentic workflows, MCP, and A2A.
- Experience designing and operating end-to-end machine learning pipelines covering training, deployment, monitoring, evaluation, and continuous improvement.
- Strong foundation in statistics, experimentation, data quality, benchmarking, performance metrics, error analysis, and optimization for accuracy, reliability, scalability, cost, and latency.
- Experience leading architecture decisions, mentoring engineers, communicating with technical and non-technical stakeholders, and working across multiple AI domains.
Nice to have
- Experience in financial services or FinTech, especially in document-heavy, regulated, or compliance-sensitive environments.
- Open-source contributions, technical publications, conference presentations, patents, or other applied AI thought leadership.
Culture & Benefits
- Hybrid work model with office attendance Monday–Thursday and remote work on Friday.
- Equity for all full-time employees and an annual performance bonus.
- Employer-matched retirement plan and subsidized healthcare.
- Employer-paid dental, vision, telemedicine, and virtual mental health counseling.
- Parental leave and unlimited paid time off.
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