17 часов назад
Vice President AI Engineering
109 000 - 142 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Vice President AI Engineering (Generative AI/Conversational AI): Building and leading a scalable conversational AI platform with an accent on large language models, semantic search, retrieval-augmented generation, and multi-agent orchestration. Focus on designing multimodal systems, establishing MLOps and CI/CD standards, improving models through continuous feedback, and scaling responsible AI infrastructure.
Location: New York, United States
Salary: $109,000–$142,000 per year, plus eligibility for an annual bonus.
Company
provides research-based data, analytics, indexes, and technology that help financial-market participants understand risks and opportunities.
What you will do
- Build and lead a high-performing team developing a scalable conversational AI platform and supporting infrastructure.
- Architect and implement generative AI systems using LLMs, semantic search, retrieval-augmented generation, and multi-agent orchestration.
- Design multimodal text, voice, and vision interactions with strong performance, scalability, and cost efficiency.
- Lead the evaluation and integration of LLMs, inference frameworks, continuous-learning systems, and conversational feedback loops.
- Establish engineering standards, experimentation frameworks, CI/CD pipelines, observability, and responsible AI practices.
- Partner with research, product, design, data, cloud, and security teams while managing vendors, partnerships, and cloud optimization.
Requirements
- 10+ years of software or AI engineering experience, including oversight of large-scale AI systems.
- Expertise deploying and optimizing large language models and multi-agent architectures.
- Hands-on knowledge of cloud-native AI infrastructure and distributed inference pipelines using Azure or GCP.
- Experience with PyTorch, TensorFlow, LangChain, Langflow, or comparable frameworks.
- Strong knowledge of data engineering, model evaluation, MLOps, system observability, conversational AI, dialog management, and human-in-the-loop design.
- Demonstrated success building and mentoring diverse AI and engineering teams.
Nice to have
- Advanced degree such as an MSc or PhD in Computer Science, Machine Learning, or a related technical discipline.
Culture & Benefits
- Transparent compensation and comprehensive employee benefits tailored to location.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- High-performance culture focused on innovation, experimentation, and accountability.
- Global orientation program and access to Learning@, AI Learning Center, LinkedIn Learning Pro, and tailored development opportunities.
- Career growth through internal mobility, expanded roles, and multiple professional development paths.
- Inclusive employee community supported by eight Employee Resource Groups.
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