Job Description
Are you ready to define the technological landscape of 2026? Nexus Horizon AI is seeking a visionary Lead AI Architect to spearhead our next-generation artificial intelligence initiatives. In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable, production-ready systems. We are not just building software; we are architecting the future of intelligent automation for the year 2026 and beyond.
As a leader in our engineering division, you will have the autonomy to design robust neural architectures and mentor a world-class team of data scientists and engineers. If you are passionate about ethical AI, large language models (LLMs), and pushing the boundaries of what is possible, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that will define the industry standard for 2026.
- Competitive compensation and equity package.
- Flexible remote/hybrid work options in the heart of San Francisco.
- Access to top-tier hardware and research tools.
Ready to shape the future? Apply today and become a pioneer in the AI revolution.
Responsibilities
- Architect and deploy scalable AI models, focusing on LLMs and generative AI technologies for the 2026 roadmap.
- Define and implement best practices for data privacy, security, and ethical AI governance.
- Lead a high-performance team of machine learning engineers, providing technical mentorship and strategic direction.
- Collaborate closely with product managers and stakeholders to translate complex business requirements into technical solutions.
- Conduct rigorous performance optimization and model fine-tuning to ensure real-time processing efficiency.
- Stay ahead of emerging AI trends and integrate relevant advancements into our core technology stack.
Qualifications
- Master’s or PhD in Computer Science, Robotics, or a related technical field (PhD preferred).
- 10+ years of experience in software engineering, with at least 5 years specializing in Artificial Intelligence and Machine Learning.
- Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
- Proven track record of designing and deploying production-grade AI systems at scale.
- Strong leadership skills with experience managing cross-functional teams in a fast-paced environment.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical audiences.