Job Description
Are you ready to shape the future of intelligent systems? Nexus Horizon is seeking a visionary Strategic AI Architect 2026 to lead our next-generation research and development initiatives. In this pivotal role, you will define the architectural roadmap for our AI ecosystem, ensuring our solutions are not only cutting-edge but also ethically grounded and scalable for the next decade.
We are looking for a leader who can bridge the gap between theoretical innovation and practical application. You will work closely with cross-functional teams to deploy large-scale machine learning models and drive the company's long-term strategic vision.
Why join Nexus Horizon?
- Impactful Work: Directly influence the trajectory of AI development in 2026 and beyond.
- World-Class Team: Collaborate with industry leaders in machine learning and cognitive science.
- Flexible Environment: Hybrid work model based in the heart of San Francisco's tech district.
Responsibilities
- Define and execute the long-term technical roadmap for AI infrastructure, specifically targeting advancements for the 2026 timeframe.
- Architect scalable, secure, and high-performance machine learning systems capable of handling petabyte-scale data.
- Lead the research and integration of emerging technologies, including generative AI, transformer models, and neural-symbolic computing.
- Collaborate with product management and engineering teams to translate strategic vision into technical specifications and actionable roadmaps.
- Mentor senior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Ensure compliance with global data privacy regulations and ethical AI standards in all architectural decisions.
Qualifications
- Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture and strategy.
- Proven track record of leading large-scale technical projects and driving innovation in complex environments.
- Deep expertise in deep learning frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, GCP, Azure).
- Exceptional leadership skills with the ability to influence and align diverse stakeholders toward a common technical vision.
- Strong understanding of NLP, computer vision, or reinforcement learning paradigms.