Job Description
We are at the precipice of a new era in artificial intelligence. Nexus Horizon is seeking a visionary Senior AI Architect to spearhead our '2026' strategic roadmap. In this pivotal role, you will not just build systems; you will architect the future of intelligent automation, defining how our technology evolves over the next decade.
As the face of our technical future, you will bridge the gap between theoretical AI research and scalable, production-grade engineering. If you are passionate about the singularity of machine learning and want to leave a legacy in the tech landscape, we want to meet you.
Why Join Us?
- Work on state-of-the-art Large Language Models (LLMs).
- Competitive compensation package and equity.
- Flexible remote-first culture with premium San Francisco office access.
- Access to cutting-edge hardware and research libraries.
Responsibilities
- Define the 2026 Vision: Lead the architectural strategy for our next-generation AI infrastructure, ensuring scalability and performance for future demands.
- Model Development: Oversee the design and training of proprietary AI models, optimizing them for latency, accuracy, and efficiency.
- Technical Leadership: Mentor a team of top-tier engineers and data scientists, fostering a culture of innovation and excellence.
- System Integration: Integrate AI solutions into complex software ecosystems, ensuring seamless interoperability with existing legacy systems.
- R&D Collaboration: Collaborate with academic partners and research labs to stay ahead of the curve in AI evolution.
- Security & Compliance: Implement rigorous security protocols to protect sensitive data and ensure compliance with global AI regulations.
Qualifications
- Experience: 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture and leadership.
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
- Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, or JAX. Experience with distributed computing systems (Kubernetes, Docker) is essential.
- AI Expertise: Proven track record of deploying production-grade LLMs and NLP solutions.
- Problem Solving: Exceptional ability to solve complex, ambiguous problems with elegant, scalable solutions.
- Communication: Excellent verbal and written communication skills, capable of articulating technical concepts to diverse stakeholders.