Vice President of Artificial Intelligence
Company Description
Valkyrie is a technology-focused organization specializing in advanced artificial intelligence solutions for complex business and operational challenges. The company leverages data-driven methods, machine learning, and analytics to help clients make better decisions and unlock new opportunities. Valkyrie values innovation, rigorous experimentation, and ethical AI practices. Team members collaborate across disciplines to design, build, and deploy AI systems that deliver measurable impact for organizations of varying sizes and industries. Role Description The Vice President of Artificial Intelligence is a full-time, remote leadership role responsible for setting the AI vision and strategy across Valkyrie. This role oversees the end-to-end lifecycle of AI initiatives, including research, model development, validation, deployment, and continuous improvement. Day-to-day responsibilities include leading cross-functional AI and data teams, defining technical roadmaps, reviewing architectures and algorithms, and ensuring solutions meet performance, security, and compliance standards. The Vice President collaborates with executive leadership and clients to identify opportunities for AI-driven innovation, translate business needs into technical plans, and communicate results and insights to both technical and non-technical stakeholders. This role also includes mentoring team members, establishing best practices, and fostering a culture of responsible, inclusive, and transparent AI.
Qualifications
Strong foundation in Computer Science and Data Science, with experience applying these disciplines to real-world AI solutions. Expertise in Pattern Recognition and Analytics to design, evaluate, and optimize models for complex data-driven problems. Deep knowledge of Natural Language Processing (NLP), including modern architectures and techniques for text and language understanding. Proven leadership experience managing AI, data, or engineering teams, with a track record of delivering production-grade AI systems. Proficiency in modern machine learning frameworks and programming languages (e.g., Python, TensorFlow, PyTorch, SQL or similar). Ability to translate business objectives into technical strategies, communicate clearly with diverse stakeholders, and influence executive decision-making. Experience designing scalable, secure, and ethical AI solutions, with familiarity in responsible AI principles and relevant regulations. Advanced degree in Computer Science, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience.