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About Orchid AI
Orchid AI is building an AI-native asset management platform that combines quantitative research, machine learning, agentic AI systems, and alternative data to generate differentiated investment insights and systematic investment strategies. Our mission is to create a modern research and portfolio management stack where human expertise and AI work together to discover, validate, and scale alpha opportunities across global markets.
Role Overview
Orchid AI is seeking an accomplished AI Advisor to join its Advisory Board and help shape the future of artificial intelligence in investment management. This role offers a unique opportunity to work alongside the founding team in defining Orchid's long-term AI strategy, product vision, and technology roadmap. As a trusted advisor, you will provide strategic guidance on the development, deployment, and governance of AI systems that have the potential to transform investment research, portfolio construction, risk management, and institutional decision-making. The ideal candidate brings deep expertise in artificial intelligence, machine learning, data science, or AI transformation, combined with experience building and scaling AI capabilities within enterprise environments, financial institutions, or leading technology companies.
Key Responsibilities
- Advise the executive team on emerging AI technologies, industry developments, and competitive dynamics.
- Help define Orchid AI's long-term AI strategy, technology vision, and innovation roadmap.
- Identify opportunities where AI can create sustainable competitive advantages across investment workflows.
- Provide perspectives on how AI is reshaping institutional investing, asset management, and capital markets.
- Advise on the development of AI-native research, portfolio management, and decision-support systems.
- Evaluate opportunities to leverage generative AI, agentic systems, machine learning, and advanced analytics across the investment lifecycle.
- Provide feedback on product architecture, model selection, data strategy, and platform differentiation.
- Help assess emerging AI models, infrastructure, tooling, and alternative data capabilities.
- Contribute to the design of scalable, production-grade AI systems for institutional use cases.
- Share best practices for enterprise AI deployment, adoption, and operationalisation.
- Advise on organisational readiness, change management, and AI transformation initiatives.
- Provide insights into how leading asset managers, hedge funds, sovereign wealth funds, pension funds, and family offices are implementing AI strategies.
- Help establish frameworks for measuring AI impact, productivity gains, and business outcomes.
- Advise on AI governance, model risk management, explainability, transparency, and regulatory considerations.
- Provide guidance on responsible AI frameworks and best practices.
- Support the development of policies for model monitoring, validation, security, and compliance.
- Help ensure AI systems are robust, trustworthy, and aligned with institutional standards.
- Facilitate introductions to senior AI, technology, innovation, and investment leaders where appropriate.
- Support strategic discussions with institutional investors, partners, and prospective clients.
- Act as a thought partner to leadership on market opportunities, technology risks, and ecosystem developments.
- Represent Orchid AI within relevant industry, research, and innovation communities when appropriate.
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Ideal Background
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We are particularly interested in individuals who have held senior leadership positions such as:
- Chief AI Officer (CAIO)
- Chief Data & AI Officer (CDAIO)
- Chief Technology Officer (CTO) with responsibility for AI strategy and deployment
- Head of Artificial Intelligence, Machine Learning, Data Science, or AI Research
- AI Transformation Leader within asset management, banking, insurance, or financial services
- Senior AI executive at hedge funds, asset managers, investment banks, fintechs, or technology companies
- Founder, CEO, or Chief Scientist of an AI-focused company
- AI platform, infrastructure, foundation model, or research leader
- Expert in AI governance, model risk management, or responsible AI
- Academic researcher or practitioner with recognised expertise in machine learning, generative AI, LLMs, multi-agent systems, or AI infrastructure
Preferred Expertise
- Generative AI and Large Language Models (LLMs)
- Agentic AI and autonomous decision-making systems
- Multi-agent architectures and orchestration frameworks
- Quantitative investing, machine learning, and systematic strategies
- Alternative data and predictive analytics
- AI infrastructure, model deployment, and MLOps
- Enterprise AI adoption and transformation
- AI governance, explainability, and regulatory frameworks
- Financial services technology and digital transformation
- Asset management, capital markets, and institutional investing
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