AI Engineer (Vice President)

Join ICapital as a Vice President Artificial Intelligence Engineer, where you will lead the design, development, and delivery of production-grade AI systems that drive measurable business outcomes. You will own key workstreams, serve as a technical leader, and partner directly with business stakeholders. The ideal candidate has 7+ years of experience in developing and deploying production AI/ML systems, strong proficiency in Python, and experience in financial services or FinTech.

Lead the architecture and delivery of production AI systems, including document intelligence, intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications.

Responsibilities

• 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.

Requirements

• 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
• Experience spanning multiple AI domains, including LLM systems, document intelligence, and ML platforms or infrastructure
• Experience leading technical design and architectural decisions, conducting code and design reviews, mentoring engineers, and driving engineering excellence across teams
• 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
• 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
• Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred
• 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

Preferred

• Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred
• Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments

Pay

USD 170,000 - 210,000