Job Description
We are seeking a visionary Senior AI Architect to lead the development of the 2026 Protocol, our proprietary framework for next-generation artificial intelligence and predictive analytics. As we stand on the precipice of a technological revolution, you will be responsible for designing the infrastructure that will power enterprise solutions for the next decade. This is an opportunity to define the future of AI engineering within a dynamic, high-growth environment.
Why Join Nexus Horizon?
- Revolutionary Tech: Work on cutting-edge algorithms that bridge the gap between current machine learning capabilities and future scalability.
- Impactful Work: Your code will directly influence how global industries leverage AI for decision-making.
- Competitive Compensation: We offer a top-tier compensation package and equity opportunities for key contributors.
Responsibilities
- Architect and deploy scalable AI models and neural networks optimized for the 2026 Protocol ecosystem.
- Lead the design of high-throughput data pipelines ensuring data integrity and low-latency processing.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Conduct rigorous code reviews and establish best practices for software engineering within the AI division.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Stay abreast of the latest advancements in AI, machine learning, and distributed systems to keep our technology stack ahead of the curve.
Qualifications
- 5+ years of professional experience in software engineering, with at least 3 years specializing in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Proven track record of deploying production-grade machine learning models at scale.
- Excellent problem-solving skills with the ability to navigate ambiguity in fast-paced environments.
- Bachelor’s degree in Computer Science, Mathematics, or a related technical field (Master’s preferred).