Job Description
Architect the Future with Nexus Horizon: Project 2026
We are seeking a visionary Principal AI Architect to lead our cutting-edge initiatives for Project 2026. In this role, you will define the technical roadmap for the next generation of generative AI and autonomous systems. You will work at the intersection of deep learning, cloud infrastructure, and ethical AI development to build scalable solutions that redefine industry standards.
Why Join Us?
- Work on mission-critical infrastructure for the year 2026 and beyond.
- Competitive compensation package with equity options.
- Flexible remote-first policy with a premium office in downtown SF.
The Role:
You will be responsible for the end-to-end architecture of our AI platforms, ensuring they are robust, secure, and capable of scaling to millions of users. You will mentor senior engineers and collaborate with product leaders to translate strategic vision into technical reality.
Responsibilities
- Lead the architectural design and implementation of large-scale AI models and infrastructure for the 2026 roadmap.
- Define technical standards, best practices, and coding guidelines for the AI engineering team.
- Collaborate with cross-functional teams (Product, Research, Security) to identify opportunities for automation and AI integration.
- Oversee the deployment of models to production environments using CI/CD pipelines and containerization (Kubernetes/Docker).
- Conduct rigorous code reviews and technical architecture reviews to ensure system integrity and performance.
- Drive innovation in ethical AI, ensuring transparency and fairness in algorithmic decision-making.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Experience with cloud platforms (AWS, GCP, or Azure) and serverless architectures.
- Strong understanding of MLOps, data pipelines, and model versioning (MLflow, DVC).
- Proven track record of leading high-performance engineering teams and mentoring junior developers.
- PhD or Master’s degree in Computer Science, Machine Learning, or a related field is a plus.