Job Description
Shape the Future of Intelligence.
Welcome to Nexus Horizon Systems. We are at the forefront of the 2026 technological revolution, building the infrastructure that powers autonomous systems and next-gen generative intelligence. We are seeking a visionary Senior AI Architect to lead our technical strategy and design scalable, future-proof solutions that will define the decade ahead.
In this role, you won't just maintain existing systems; you will architect the very fabric of our future products. You will bridge the gap between theoretical machine learning models and production-grade infrastructure, ensuring our solutions are robust, ethical, and ready for the demands of 2026 and beyond.
Why Join Us?
- Work with a world-class team pushing the boundaries of AI and Quantum integration.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a premium office in the heart of San Francisco.
Responsibilities
- Architect Future-Proof Infrastructure: Design and implement scalable AI architectures that support high-volume data processing and real-time generative capabilities.
- Lead Strategic Innovation: Identify emerging technologies (e.g., Quantum ML, Neuromorphic Computing) and evaluate their applicability to our product roadmap for the 2026 cycle.
- Model Governance & Ethics: Establish frameworks for responsible AI, ensuring transparency, bias mitigation, and compliance with evolving global regulations.
- Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- System Integration: Oversee the seamless integration of AI models into legacy systems and cloud ecosystems, optimizing for performance and cost-efficiency.
- Stakeholder Communication: Translate complex technical concepts into strategic insights for executive leadership and non-technical stakeholders.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field. Equivalent experience will be considered.
- Experience: 8+ years of experience in software engineering and at least 5 years in designing large-scale AI/ML systems.
- Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and Hugging Face. Experience with distributed computing systems (Kubernetes, Docker) is required.
- Strategic Vision: Proven track record of leading technical initiatives from concept to deployment in a fast-paced environment.
- Communication Skills: Exceptional ability to articulate complex technical strategies to diverse audiences.
- Adaptability: Must be comfortable navigating ambiguity and driving innovation in uncharted territories.