Job Description
We are building the infrastructure for the future. Horizon 2026 Solutions is seeking a visionary Lead AI Architect to design the neural frameworks that will power the next decade of human-computer interaction.
In this pivotal role, you won't just maintain existing systems; you will architect the future. We are developing scalable, autonomous AI solutions designed specifically for the technological landscape of 2026 and beyond. If you are passionate about pushing the boundaries of machine learning, generative AI, and autonomous systems, we want to hear from you.
Why join Horizon 2026?
- Shape the Future: Work on core technologies that define the 2026 roadmap.
- High Impact: Your code will directly influence how millions interact with AI.
- Equity & Benefits: Competitive salary and significant equity package.
- Remote-First Culture: Flexible work arrangements with a San Francisco HQ.
Responsibilities
- Architect and deploy scalable deep learning models for autonomous decision-making systems and edge computing environments.
- Lead a high-performance team of data scientists and ML engineers in the design and implementation of the 2026 technical roadmap.
- Optimize neural network architectures for real-time processing, low latency, and high throughput.
- Collaborate with product leaders and C-suite executives to define technical strategies for emerging AI applications.
- Establish best practices for AI ethics, safety, compliance, and interpretability.
- Mentor junior engineers and conduct technical reviews to ensure code quality and innovation.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- 7+ years of experience in machine learning engineering, with at least 3 years in a senior leadership or architecture role.
- Expert proficiency in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
- Deep understanding of Large Language Models (LLMs), transformers, and generative AI architectures.
- Experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes/Docker).
- Strong ability to communicate complex technical concepts to non-technical stakeholders.