Job Description
Are you ready to architect the future of Artificial Intelligence?
Nexus Horizon Labs is pioneering the next generation of autonomous systems, and we are looking for a visionary Senior AI Architect to lead our 2026 Strategic Roadmap. This is a high-impact role where you will define the architectural framework for our flagship projects, ensuring scalability, efficiency, and innovation.
In this position, you won't just write code; you will shape the trajectory of our technology stack for the next decade. You will collaborate with world-class researchers and engineers to deploy cutting-edge neural networks and generative models that redefine user experiences.
Why join us?
- Work on high-stakes projects with a mission to advance human-machine interaction.
- Competitive compensation package with equity opportunities.
- Flexible hybrid work environment in the heart of San Francisco.
- Access to state-of-the-art hardware and research facilities.
If you are passionate about the intersection of strategy and technology and want to leave a legacy in the AI space, apply today.
Responsibilities
- Define and execute the technical vision for the 2026 AI Roadmap, aligning engineering efforts with long-term business goals.
- Architect scalable, fault-tolerant deep learning systems that can handle petabyte-scale data.
- Lead a team of talented engineers and data scientists, providing mentorship and technical guidance.
- Conduct rigorous code reviews and performance optimization to ensure system reliability.
- Collaborate with product managers to translate complex AI capabilities into user-centric features.
- Stay abreast of the latest advancements in NLP, Computer Vision, and Reinforcement Learning.
- Establish best practices for MLOps and deployment pipelines.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Proven track record of leading cross-functional teams in a fast-paced startup environment.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Experience with Large Language Models (LLMs) and Generative AI implementation.