Job Description
Are you ready to architect the future? Apex Horizon Systems is seeking a visionary Lead AI Architect to spearhead our 2026 Initiative. We are building the foundational frameworks for next-generation artificial intelligence and are looking for a technical leader who thrives on solving complex problems and shaping the roadmap for tomorrow.
In this role, you will bridge the gap between theoretical AI research and scalable production systems. You will be responsible for designing robust architectures that can handle the massive data streams of the future. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to meet you.
Why Join Us?
We offer a competitive salary, equity package, and the opportunity to work on projects that will impact the world for decades to come. Our culture is built on innovation, autonomy, and excellence.
Responsibilities
- Design and implement scalable, high-performance AI/ML architectures for the 2026 product roadmap.
- Lead a team of data scientists and engineers to translate research concepts into production-ready code.
- Establish best practices for model deployment, monitoring, and observability in a cloud-native environment.
- Collaborate with cross-functional stakeholders to define technical vision and drive strategic decision-making.
- Mentor junior developers and foster a culture of continuous learning and technical excellence.
- Conduct rigorous code reviews and architectural evaluations to ensure system integrity and security.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Senior Engineering role.
- Deep expertise in machine learning frameworks (TensorFlow, PyTorch, JAX) and distributed computing systems.
- Strong proficiency in Python, Go, or Java, with a focus on high-performance computing.
- Proven experience designing systems at scale, handling petabytes of data, and optimizing for low-latency inference.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field is highly preferred.