Job Description
Are you ready to define the future of technology?
Nexus Horizon Solutions is pioneering the infrastructure for the 2026 era. We are seeking a visionary Future-Ready AI Architect to lead our strategic roadmap. In this role, you won't just implement existing solutions; you will architect the frameworks and algorithms that will power the next decade of innovation.
Join a world-class team in the heart of San Francisco, where cutting-edge research meets scalable production engineering. You will be responsible for building the proprietary AI models and neural architectures that will serve as the backbone of our future products.
Why join us?
- Work on high-impact projects that shape the industry.
- Competitive compensation and equity package.
- Flexible remote-first culture with a premium San Francisco office.
The Role:
We are looking for a thought leader who thrives in ambiguity and is obsessed with scalability and ethical AI. You will collaborate with cross-functional teams to translate business objectives into technical roadmaps for 2026 and beyond.
Responsibilities
- Architect the 2026 Roadmap: Lead the design and development of proprietary AI models and machine learning frameworks tailored for the 2026 technological landscape.
- System Design: Design scalable, fault-tolerant architectures capable of processing petabytes of data in real-time.
- Innovation Leadership: Explore and prototype emerging technologies (e.g., Neuromorphic Computing, Advanced LLMs) to stay ahead of industry trends.
- Model Optimization: Continuously optimize model performance, latency, and accuracy to ensure seamless user experiences.
- Technical Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Stakeholder Collaboration: Translate complex technical concepts into clear strategies for product managers and executive leadership.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of professional experience in software engineering and machine learning, with at least 3 years in a senior or leadership role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Future Tech: Demonstrated experience with large language models (LLMs), transformers, and generative AI architectures.
- Problem Solving: Proven ability to solve complex, unstructured problems with elegant, scalable solutions.
- Communication: Exceptional written and verbal communication skills, capable of presenting technical visions to diverse audiences.