Job Description
Are you ready to define the technology landscape of tomorrow? Nexus Horizon Systems is seeking a visionary Senior AI Architect to spearhead our next-generation research and development initiatives for the 2026 tech era. In this role, you will not just build software; you will architect the intelligence that powers the future.
We are looking for a thought leader who thrives on complexity and is obsessed with pushing the boundaries of Generative AI, Large Language Models, and autonomous systems. Join a team of elite engineers and researchers dedicated to solving the world's most challenging problems through advanced artificial intelligence.
Why Join Us?
- Work on cutting-edge AI infrastructure.
- Competitive equity and performance bonuses.
- Flexible hybrid work environment in the heart of San Francisco.
Key Responsibilities:
Responsibilities
- Architect High-Performance Systems: Design scalable, fault-tolerant AI infrastructure capable of processing petabytes of data in real-time.
- Lead R&D Initiatives: Spearhead research into emerging 2026 AI trends, including multimodal models and edge computing integration.
- Model Optimization: Develop and implement strategies to optimize model inference speed and reduce latency for consumer-grade applications.
- Technical Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Collaboration: Partner with product managers and stakeholders to translate complex AI capabilities into user-friendly features.
- Security & Ethics: Ensure all AI deployments adhere to strict data privacy standards and ethical AI guidelines.
Qualifications:
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of experience in software engineering, with at least 3 years specifically focused on AI/ML architecture.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with distributed computing frameworks (Kubernetes, Spark).
- Modeling: Proven track record of deploying state-of-the-art Large Language Models (LLMs) and Generative AI tools.
- Problem Solving: Exceptional ability to troubleshoot complex system bottlenecks and optimize resource utilization.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.