Job Description
The Future is Calling.
Horizon Future Systems is pioneering the technological frontiers for the 2026 era. We are seeking a visionary Chief AI Architect to lead our Research and Development division. In this role, you will define the architectural blueprint for next-generation Agentic AI systems, autonomous agents, and ethical machine learning frameworks that will define the industry standard for the coming decade.
You will not just be maintaining current tech stacks; you will be architecting the infrastructure for a future where AI seamlessly integrates into every facet of digital life. If you are passionate about the trajectory of Artificial General Intelligence (AGI) and possess the technical mastery to build it, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that directly influence the 2026 tech roadmap.
- Competitive compensation package with equity options.
- Flexible remote-first policy with a premium office in downtown SF.
- Access to state-of-the-art hardware and AI compute resources.
Responsibilities
- Define the 2026 AI Strategy: Lead the long-term vision for AI development, focusing on scalability, autonomy, and ethical alignment for the 2026 technological landscape.
- Architect Advanced Systems: Design and oversee the development of complex distributed AI systems, including LLMs, reinforcement learning environments, and neural-symbolic integration.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and high-performance engineering.
- Infrastructure Optimization: Oversee the migration and scaling of AI infrastructure to ensure high availability and low latency for global deployments.
- Cross-Functional Collaboration: Partner with product, security, and legal teams to ensure AI solutions are robust, secure, and compliant with emerging regulations.
- Research & Development: Stay ahead of the curve on emerging trends (e.g., Quantum AI, Neuromorphic computing) and evaluate their applicability to our roadmap.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field from a top-tier institution.
- Experience: Minimum of 10 years of experience in software architecture, with at least 5 years specifically focused on AI/ML systems.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems. Experience with model orchestration (e.g., Kubeflow, MLflow) is essential.
- Strategic Vision: Proven track record of translating abstract research concepts into scalable, production-ready software architectures.
- Leadership: Demonstrated ability to lead high-performing engineering teams and manage cross-functional projects from conception to delivery.
- Communication: Exceptional verbal and written communication skills, capable of presenting complex technical concepts to non-technical stakeholders.