Job Description
We are looking for a visionary Lead Architect: 2026 AI Vision to join Horizon Synergies in San Francisco. As we prepare for the next decade of technological evolution, you will be at the forefront of defining the infrastructure and strategy that will power our systems through 2026 and beyond.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering. You will lead a world-class team in building robust, ethical, and high-performance neural networks that define the future of human-machine interaction. If you are passionate about the trajectory of technology and want to leave a legacy, we want to hear from you.
Why Horizon Synergies?
- Work on cutting-edge General Intelligence (AGI) infrastructure.
- Competitive equity package and performance bonuses.
- Flexible remote-first culture with state-of-the-art offices in SF.
Responsibilities
- Design and implement the architectural roadmap for our 2026 AI infrastructure, ensuring scalability and fault tolerance.
- Lead a cross-functional team of ML engineers, data scientists, and researchers to drive innovation.
- Define best practices for model training, deployment, and MLOps pipelines.
- Collaborate with product leadership to translate complex AI capabilities into user-friendly applications.
- Oversee the ethical implications of AI deployment, ensuring compliance with global standards.
- Conduct technical due diligence for emerging technologies and partnerships.
- Mentor junior engineers and foster a culture of continuous learning and technical excellence.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering and machine learning, with at least 5 years in a leadership role.
- Deep expertise in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Proven track record of deploying large-scale AI systems in production environments.
- Strong understanding of cloud architecture (AWS, GCP, or Azure).
- Exceptional problem-solving skills and the ability to thrive in fast-paced, ambiguous environments.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.