Job Description
Are you ready to define the digital landscape of 2026 and beyond?
Nexus Horizon is pioneering the next generation of artificial intelligence. We are seeking a visionary Senior AI Architect to lead our research and deployment efforts. In this pivotal role, you will not just write code; you will architect the cognitive frameworks that will power our solutions for the coming decade.
As we look toward 2026, we are prioritizing scalable, ethical, and highly adaptive AI systems. If you are passionate about the future of technology and want to build the infrastructure that powers tomorrow's innovations, we want to meet you.
Why Join Us?
- Future-Forward Tech Stack: Work with cutting-edge Large Language Models (LLMs) and neural networks.
- Impactful Work: Your solutions will directly influence millions of users globally.
- Competitive Compensation: Base salary commensurate with experience plus performance bonuses.
- Flexible Environment: Hybrid work model based in our San Francisco headquarters.
Responsibilities
- Design & Architect: Lead the end-to-end architecture design for complex AI systems, ensuring scalability, security, and performance for 2026 standards.
- Research & Development: Stay ahead of the curve by implementing the latest breakthroughs in Generative AI and Machine Learning.
- Team Leadership: Mentor a team of brilliant engineers and data scientists, fostering a culture of innovation and technical excellence.
- Model Optimization: Optimize large-scale models for inference speed and cost-efficiency in cloud environments.
- Strategic Planning: Collaborate with product managers to translate futuristic concepts into technical roadmaps.
- Compliance & Ethics: Ensure all AI deployments adhere to ethical guidelines and industry regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience: 7+ years of professional experience in software engineering and AI/ML development.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and RESTful API design.
- Cloud Mastery: Extensive experience with AWS, Azure, or GCP for deploying ML workloads.
- Leadership: Proven track record of leading technical teams and managing cross-functional projects.
- Future-Ready Mindset: Ability to anticipate emerging trends in AI and adapt architectural strategies accordingly.