Job Description
We are looking for a visionary Senior AI Architect to spearhead our strategic roadmap for 2026. Nexus Horizon Systems is at the forefront of integrating advanced artificial intelligence into enterprise infrastructure. As we prepare for the paradigm shift of 2026, we need a technical leader who can design scalable, secure, and ethically sound AI ecosystems.
In this role, you will bridge the gap between theoretical AI research and production-grade infrastructure. You will define the technical vision that will power our clients through the next generation of digital transformation. If you are passionate about shaping the future and have a deep understanding of large-scale system design, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects defining the 2026 technology landscape.
- Competitive compensation package with equity options.
- Flexible remote-first policy with a hub in the heart of San Francisco.
- Access to state-of-the-art computing resources and AI research libraries.
Responsibilities
- Lead the architectural design and implementation of AI infrastructure plans targeting the 2026 operational timeline.
- Define technical roadmaps and standards for machine learning pipelines, ensuring scalability and high availability.
- Collaborate with product managers and engineering teams to translate business requirements into robust technical solutions.
- Mentor junior engineers and architects, fostering a culture of innovation and technical excellence.
- Conduct rigorous code reviews and architectural assessments to mitigate risks and optimize performance.
- Stay ahead of industry trends, specifically focusing on Generative AI and autonomous systems relevant to the 2026 market.
Qualifications
- Master’s degree in Computer Science, Data Science, or a related technical field (PhD preferred).
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, C++, and distributed systems (Kubernetes, Docker, AWS/GCP).
- Proven track record of leading high-performance teams through complex technical transitions.
- Strong understanding of data privacy, ethics, and compliance standards (GDPR, CCPA).
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.