Job Description
The Opportunity:
We are pioneering the technology landscape of 2026 and beyond. Nexus Horizon Systems is seeking a visionary Lead AI Architect to spearhead the development of next-generation artificial intelligence models that will define the future of enterprise automation. You will be the architect of our 2026 roadmap, working at the intersection of cutting-edge research and scalable production systems.
Why Join Us?
At Nexus Horizon, we don't just predict the future; we build it. You will have the autonomy to experiment with emerging technologies, influence product direction, and work with a team of elite engineers and data scientists.
Key Responsibilities:
Responsibilities
- Define the 2026 Technical Vision: Lead the architectural strategy for our AI infrastructure, ensuring scalability, security, and performance for next-generation applications.
- Model Development: Design and implement proprietary machine learning algorithms that solve complex, real-world problems with high accuracy.
- Team Leadership: Mentor a high-performing team of AI engineers and researchers, fostering a culture of innovation and continuous learning.
- Cross-Functional Collaboration: Partner with product managers and stakeholders to translate business requirements into robust technical solutions.
- Research & Innovation: Stay ahead of industry trends, evaluating and integrating breakthrough technologies (e.g., Generative AI, Quantum-ready architectures) into our stack.
- Performance Optimization: Oversee the deployment of models in production environments, ensuring minimal latency and maximum throughput.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture and leadership.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and cloud-native architectures (AWS, GCP, or Azure).
- Problem Solving: Proven track record of designing systems that can handle billions of data points with sub-millisecond latency.
- Leadership: Demonstrated experience leading cross-functional teams and driving technical roadmaps from conception to delivery.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.