Job Description
Join the Pioneers of the AI Era.
Nexus Horizon Systems is seeking a visionary Chief AI Strategist & Architect (2026 Vision) to lead our R&D division. As we prepare for the next wave of artificial general intelligence, you will define the architectural blueprints for autonomous systems, multimodal learning models, and ethical AI frameworks that will dominate the landscape by 2026 and beyond.
In this high-impact role, you won't just manage code; you will architect the future of human-machine interaction. We are looking for a thought leader who thrives on ambiguity and possesses the technical depth to turn sci-fi concepts into scalable reality.
Why Join Us?
- Future-Ready: Work on cutting-edge technologies aimed at the 2026 technology horizon.
- Unlimited PTO & Equity: Competitive compensation package reflecting your market value.
- Remote-First Culture: Work from anywhere in the United States.
Responsibilities
- Strategic Roadmapping: Define and execute the 3-year AI roadmap, identifying emerging trends (e.g., AGI, Spatial Computing, Neural Interfaces) to maintain a competitive advantage.
- System Architecture: Design robust, scalable, and secure deep learning infrastructure capable of handling petabyte-scale data streams.
- Model Development: Lead the research and implementation of proprietary Large Language Models (LLMs) and generative AI agents.
- Team Leadership: Mentor a cross-functional team of ML engineers, data scientists, and ethical AI researchers.
- Stakeholder Communication: Translate complex technical concepts into clear business strategies for C-suite executives and investors.
- Compliance & Ethics: Establish governance frameworks ensuring AI safety, fairness, and transparency.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering or data science, with at least 3 years in a senior leadership or architectural role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
- Strategic Thinking: Proven track record of leading AI initiatives from concept to production deployment.
- Innovation: Demonstrated ability to anticipate industry shifts and adapt technology stacks accordingly.
- Communication: Exceptional verbal and written communication skills, capable of presenting to diverse audiences.