Job Description
The Opportunity:
We are looking for a visionary Senior AI Architect to lead the technical strategy for our upcoming 2026 Initiative. At Nexus Horizon Technologies, we are building the digital infrastructure of tomorrow. This is a rare opportunity to shape the future of autonomous systems and generative AI at a global scale.
In this role, you will define the architectural blueprint for next-generation neural networks, ensuring scalability, security, and ethical integrity. You will bridge the gap between cutting-edge research and production-grade engineering, working with a world-class team of researchers and developers.
Why Join Us?
• Work on mission-critical projects that define the next era of technology.
• Competitive compensation package including equity.
• Flexible work environment with a focus on innovation.
Responsibilities
- Define and execute the technical vision and roadmap for the 2026 Initiative, aligning with company goals.
- Lead the design and implementation of distributed AI systems and large-scale machine learning pipelines.
- Mentor and coach a team of senior engineers and data scientists, fostering a culture of excellence.
- Evaluate emerging technologies (Quantum Computing, Neuromorphic Engineering) and integrate them where applicable.
- Ensure system reliability, security, and performance optimization across all AI workloads.
- Collaborate with product leadership to translate complex business requirements into robust technical solutions.
- Establish best practices for data governance and ethical AI deployment.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 8 years of experience in software architecture, with at least 4 years specifically in AI/ML infrastructure.
- Expert proficiency in Python, PyTorch, TensorFlow, and C++.
- Proven experience designing systems for High-Performance Computing (HPC) environments.
- Strong background in cloud architecture (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
- Excellent leadership skills with a track record of leading high-performing engineering teams.
- Deep understanding of MLOps, CI/CD pipelines, and model versioning.