Job Description
Are you ready to define the technological landscape of 2026 and beyond? Nexus Horizon Systems is seeking a visionary Senior AI Architect to spearhead the development of next-generation artificial intelligence solutions. In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable enterprise applications, driving innovation that will shape the future of human-computer interaction.
As part of our elite Future Tech division, you will operate at the intersection of deep learning, distributed systems, and strategic product vision. We are not just building software; we are architecting the foundation for a smarter world.
Why Join Us?
- Work with state-of-the-art LLMs and generative models.
- Competitive compensation and equity package.
- Flexible remote-first culture with premium office amenities in SF.
Responsibilities
- Architect and implement scalable, high-performance AI infrastructure designed to meet the demands of the 2026 technological horizon.
- Lead research and development initiatives in generative AI, NLP, and predictive analytics.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex requirements into robust technical solutions.
- Ensure ethical AI practices and data governance across all deployed models.
- Mentor junior architects and engineers, fostering a culture of continuous learning and technical excellence.
- Stay ahead of industry trends to recommend innovative technologies and methodologies.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years specializing in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Proven track record of designing large-scale distributed systems using cloud-native technologies (AWS, GCP, or Azure).
- Master’s degree in Computer Science, Machine Learning, or a related quantitative field (PhD preferred).
- Strong understanding of system design principles, including microservices, Kubernetes, and message queues.
- Exceptional leadership skills with a history of driving projects from concept to production.