Job Description
Are you ready to define the technological landscape of tomorrow? Horizon Systems is seeking a visionary Lead AI Architect to spearhead our revolutionary Project 2026. We are building the next generation of autonomous intelligent systems, and we need a pioneer to architect the infrastructure that will power this future.
In this role, you won't just write code; you will shape the ethical framework, scalability, and performance of systems that will define the industry standard for the next decade. If you are passionate about pushing the boundaries of Artificial General Intelligence (AGI) and want to leave a lasting legacy in the tech world, we want to meet you.
Why Join Us?
- Impact at Scale: Work on a mission-critical initiative that directly influences millions of users.
- Future-Proofing: Build technology that anticipates the needs of 2026 and beyond.
- Elite Team: Collaborate with PhDs, researchers, and industry veterans.
- Competitive Compensation: Comprehensive benefits package including equity and bonuses.
Responsibilities
- Design and implement the core architecture for Project 2026’s neural network infrastructure.
- Lead a cross-functional team of machine learning engineers and data scientists to drive innovation.
- Ensure system scalability, reliability, and security across distributed environments.
- Define technical strategies and best practices for AI model training and deployment.
- Collaborate with stakeholders to translate business requirements into technical roadmaps.
- Conduct rigorous code reviews and architecture audits to maintain high engineering standards.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Apache Spark).
- Proven track record of leading high-performance teams in a fast-paced, agile environment.
- Strong understanding of deep learning algorithms, NLP, and computer vision.
- Master’s degree in Computer Science, AI, or a related technical field (PhD preferred).
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.