Vice President of Artificial Intelligence
Company Description
Valkyrie is an innovative technology company focused on designing and deploying advanced artificial intelligence solutions for complex, real-world problems. The organization partners with clients across industries to build data-driven products and decision systems that deliver measurable impact. Valkyrie emphasizes experimentation, rigorous analytics, and ethical AI practices in all engagements. Team members collaborate in a fast-paced, remote-friendly environment that values curiosity, initiative, and technical excellence. Role Description The Vice President of Artificial Intelligence is a full-time, remote leadership role responsible for shaping Valkyrie’s overall AI strategy and execution. This role oversees the design, development, and deployment of AI solutions, guiding teams in machine learning research, model experimentation, and scalable production implementation. Day-to-day responsibilities include leading cross-functional AI initiatives, mentoring technical leads, defining best practices for data and model governance, and aligning AI roadmaps with business objectives. The VP of AI will collaborate with executive leadership and clients to identify opportunities for AI-driven innovation, evaluate emerging technologies, and ensure that solutions meet performance, security, and ethical standards. This role also contributes to hiring, team development, and thought leadership, representing Valkyrie in key client conversations and industry forums.
Qualifications
Strong foundation in Computer Science, including algorithms, data structures, software engineering principles, and system design. Expertise in Data Science and Analytics, with experience in statistical modeling, experimentation, and translating insights into actionable solutions. Advanced skills in Pattern Recognition and machine learning, including designing, training, and evaluating models for complex data sets. Hands-on experience with Natural Language Processing (NLP), including modern architectures, libraries, and deployment of language models. Proven track record leading AI or data teams, including strategic planning, roadmap ownership, and cross-functional collaboration. Experience building and operating production AI systems on modern cloud platforms (e.g., AWS, Azure, GCP) and MLOps frameworks. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders and executive partners. Commitment to responsible and ethical AI, including considerations around bias, transparency, privacy, and regulatory compliance. Graduate degree in Computer Science, Data Science, Engineering, or a related quantitative field is highly preferred; equivalent experience considered. Experience in a senior leadership role within an AI-focused or technology-driven organization is strongly beneficial.