Job Description
Join the Vanguard of Artificial Intelligence
Horizon Systems is pioneering the next generation of intelligent infrastructure. We are seeking a visionary Future of AI Architect to lead our strategic initiatives aimed at defining the technological landscape for the year 2026 and beyond. In this role, you will bridge the gap between theoretical research and practical application, ensuring our solutions remain ahead of the curve in an evolving digital ecosystem.
You will work alongside top-tier researchers and engineers to design scalable, ethical, and high-performance AI systems. If you are passionate about shaping the future and possess a deep understanding of long-term technological trends, we want to hear from you.
Why Join Us?
- Competitive compensation package and equity options.
- Work on cutting-edge projects with a global impact.
- Flexible remote-first policy with access to premium co-working spaces in SF.
Responsibilities
- Strategic Roadmapping: Define and execute the technical roadmap for Horizon Systems' AI capabilities leading up to and beyond 2026, identifying emerging trends in neural networks and generative models.
- System Architecture: Design robust, scalable, and secure AI architectures that can handle massive data streams and complex decision-making processes.
- R&D Leadership: Lead a team of research scientists and engineers in experimenting with novel algorithms, ensuring our proprietary technology remains proprietary and competitive.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and legal teams to integrate AI solutions that align with business goals and ethical standards.
- Future-Proofing: Assess potential risks and opportunities associated with future AI regulations and technological shifts, proposing adaptive strategies.
- Performance Optimization: Continuously monitor and optimize model accuracy, latency, and efficiency to deliver superior user experiences.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field from a top-tier university.
- Experience: Minimum of 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and system design.
- Tech Stack: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, AWS, or Azure).
- Strategic Mindset: Proven track record of leading high-level technical strategy and mentoring diverse engineering teams.
- Problem Solving: Exceptional ability to solve complex, ambiguous problems with creative and scalable technical solutions.
- Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts to non-technical stakeholders.