QUALIFICATIONS

• Education:
• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Cognitive Science, Linguistics, Data Science, and/or related fields.
• Experience:
• At least 5+ years in one of the core technical fields listed above.
• At least 5+ years in hybrid technical and customer-involved roles.
• Demonstrated success in publishing, deploying, or commercializing research.
• Technical Skills:
• Understanding of knowledge representation, epistemology, and reasoning/explanation.
• Prior experience with intelligent systems.
• Past experience in cognition and/or cognitive sciences.
• Experience with semantic natural language processing and/or application of machine learning frameworks to natural language tokens.
• Experience with social science research methods.
• Proficient in Python , Java , or C++.
• Proficient in Linux (any flavor).
• Skilled in building and securing REST APIs and in working with distributed computing systems.
• Other Skills:
• Interest in solving foundational business and societal problems with AGI.
• Exceptional analytical and problem-solving abilities.
• Aptitude for sales, collaborative solution generation, and communication.
• Ability to distill complex AI concepts for non-technical stakeholders.
• Strong teamwork and communication capabilities.
• Ability to speak with a wide range of audiences in order to understand needs, goals, and concepts.
• Self-starter with a proactive mindset and a passion for working at the cutting edge of AI.

• Research & Development: Lead the end-to-end discovery, design, prototyping, and testing of advanced problem-solving and decision support systems. Facilitate data and knowledge interconnection across diverse domains..
• Core AI Components: Architect and implement core modules, including specialized reasoning and simulation systems and compute environments tailored to innovative AGI workflows.
• Knowledge Integration & Development: Extract and integrate knowledge from diverse sources; design and develop sophisticated knowledge bases for individual business cases.
• Evaluation Support: Guide customers through robust testing and validation of AGI systems and recommend and implement necessary changes.
• Cross-Functional Collaboration: Collaborate within multidisciplinary teams; apply deep knowledge in business, intelligence and AGI system-building.
• Deployment & Platform Integration: Engineer AGI solutions for compatibility with production environments, ensuring seamless integration with software platforms and cloud infrastructures.
• Pre & Post Sales Support: Support customers and business development.
• Outreach: Act as a resource for the wider community for AGI and Integral Mind.