Vice President, AI Engineer - Full Time - Hybrid
About the Role
Our client, a leading NYC fintech firm, is hiring a VP Artificial Intelligence Engineer to lead the design, development and delivery of production-grade AI systems that drive measurable business outcomes across the firm. This individual will own key workstreams and serve as a technical leader, driving system design, mentoring engineers, partnering directly with business stakeholders and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability.
Responsibilities
- Lead the architecture and delivery of production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI and generative AI applications.
- Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring and continuous improvement.
- Drive technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy and infrastructure patterns, establishing standards that raise the quality bar across the AI/ML platform.
- Architect and champion robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets and enforcing strict versioning to ensure reproducibility and continuous improvement.
- Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly.
- Mentor and develop engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group.
Qualifications
- 7+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production.
- Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software
- Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks, tooling, and protocols such as MCP and A2A.
- Experience designing, deploying and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments.
- Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency
- Experience leading technical design and architectural decisions, conducting code and design reviews, mentoring engineers and driving engineering excellence across teams
- Excellent written and verbal communication skills, with the ability to document technical solutions, collaborate with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences
- Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is highly preferred.
Benefits
- The base salary range for this role is $170,000 to $210,000 plus bonus and equity.
- Hybrid schedule: in office Monday–Thursday with the flexibility to work remotely on Friday.
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