[Remote] Artificial intelligence Engineer - Vice President

Note: The job is a remote job and is open to candidates in USA. iCapital is seeking a Vice President Artificial Intelligence Engineer to lead the design, development, and delivery of production-grade AI systems that drive measurable business outcomes across the firm. This role involves owning key workstreams, driving system design, mentoring engineers, and partnering with business stakeholders to ensure AI capabilities meet production-grade standards.ResponsibilitiesLead the architecture and delivery of production AI systems, including document intelligence (IDP), intelligent knowledge systems, and agentic orchestration, to power internal and external workflow automation at scaleOwn AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality deliveryDrive 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 platformArchitect 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 improvementPartner 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 clearlyMentor 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 groupIdentify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocitySkills7+ years of experience developing production AI/ML systems, including hands-on experience with AWS or cloud-native development patterns for AI/ML workloads and a demonstrated track record of delivering complex systems from inception through productionStrong proficiency in Python and demonstrated ability to build well-engineered, maintainable software, including adherence to software engineering best practices (i.e. source control, CI/CD, testing, and documentation)Deep expertise in at least one of the following: LLM-based systems (fine-tuning, inference optimization, prompt engineering, modern tooling AI tooling, such as transformers, vLLM, or agentic frameworks), document intelligence and IDP, or ML system design (training pipelines, model serving, evaluation infrastructure)Experience designing and operating end-to-end ML pipelines in production, including model training, deployment, monitoring, and iteration (MLOps)Solid fundamentals in statistics, experimentation, and data quality with the ability to reason rigorously about metrics, error patterns, and the limitations of AI systemsExperience leading technical design, mentoring engineers, and driving architectural decisions within a teamStrong written and verbal communication skills to represent the team in cross-functional settings, document technical designs, and communicate effectively with both technical and non-technical stakeholdersExperience spanning more than one of LLM systems, document intelligence, and ML platform and infrastructureFamiliar with agentic architectures and protocols (i.e. MCP and A2A) or designing multi-step, tool-using AI workflowsKnowledge of cost and latency optimization for LLM inference at scale (i.e. quantization, batching strategies, and model routing)Prior experience in financial services or FinTech, particularly in document-heavy or compliance-sensitive domainsContributions to open-source projects or published technical writing demonstrating thought leadership in applied AIBenefitsEquity for all full-time employeesAn annual performance bonusA comprehensive benefits package that includes an employer matched retirement planGenerously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counselingParental leaveUnlimited paid time off (PTO)Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on FridayCompany OverviewDice is a job-searching platform for technology professionals. It is a sub-organization of DHI Group. It was founded in 1990, and is headquartered in Santa Clara, California, USA, with a workforce of 201-500 employees. Its website is http://www.dice.com.Company H1B SponsorshipDice has a track record of offering H1B sponsorships, with 2 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.