Job Description
Shape the Future of Intelligence
Stellar Horizon Technologies is at the forefront of the 2026 AI revolution. We are looking for a visionary Senior AI Architect to lead our strategic roadmap and design the next generation of adaptive neural networks. If you are passionate about building scalable, ethical, and high-performance systems, this is your opportunity to define the standard for the industry.
Why Join Us?
As we prepare for the 2026 infrastructure overhaul, you will have the autonomy to make critical technical decisions. We offer a competitive benefits package, remote-first flexibility, and the chance to work on projects that impact millions globally.
Your Mission
You will act as the bridge between theoretical research and production deployment, ensuring our AI models are robust, efficient, and ready for enterprise-scale challenges.
Responsibilities
- Lead the architectural design and implementation of the 2026 Strategic AI Roadmap, aligning technical goals with business objectives.
- Develop and optimize deep learning models and machine learning pipelines for high-velocity environments.
- Collaborate with cross-functional teams including Data Science, Product, and Engineering to drive innovation.
- Ensure system scalability, reliability, and security across all AI deployments.
- Establish best practices for code quality, testing, and CI/CD in AI workflows.
- Mentor junior engineers and architects, fostering a culture of continuous learning and technical excellence.
- Evaluate emerging technologies (e.g., Quantum Computing, Edge AI) to prepare for the 2026 transition.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering and at least 5 years in AI/ML architecture.
- Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Proven experience designing systems that handle terabytes of data with low latency.
- Strong background in cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Demonstrated leadership experience in managing high-performance engineering teams.
- Excellent communication skills with the ability to translate complex technical concepts for stakeholders.