Job Description
Nexus Horizon Technologies is pioneering the next generation of artificial intelligence. As we gear up for our 2026 Strategic Expansion, we are seeking a visionary Senior AI Architect to lead our core research and infrastructure teams. This is a high-impact role focused on building scalable, agentic AI systems that define the future of enterprise automation.
Our 2026 initiative aims to revolutionize how businesses interact with data through autonomous agents and next-generation Large Language Models (LLMs). You will not just implement existing technologies; you will define the architectural patterns for the future.
What You'll Do:
- Architect end-to-end generative AI pipelines, ensuring high availability and low latency.
- Define the technical roadmap for 2026, identifying emerging technologies in Quantum Computing and Neuromorphic Engineering.
- Lead a team of top-tier ML engineers and data scientists in research and deployment.
- Mentor junior staff and establish best practices for AI ethics and model governance.
- Collaborate with product leadership to translate complex AI capabilities into user-centric features.
Why Join Us?
Be at the forefront of the AI revolution. We offer competitive equity packages, remote-first flexibility, and the opportunity to work on projects that will shape the industry for years to come.
Responsibilities
- System Architecture: Design and implement scalable distributed systems for training and inference of large-scale AI models.
- Technology Strategy: Research and evaluate emerging technologies relevant to the 2026 tech landscape, including edge AI and federated learning.
- Team Leadership: Manage technical delivery, code reviews, and architectural decision-making for the AI division.
- Model Optimization: Focus on model efficiency, reducing token costs, and improving inference speed for real-time applications.
- Collaboration: Work closely with data scientists to fine-tune foundation models for specific vertical use cases.
- R&D: Publish patents and whitepapers on novel approaches to generative AI safety and alignment.
Qualifications
- Experience: 8+ years of experience in software engineering with a focus on machine learning and artificial intelligence.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
- Architecture: Deep understanding of microservices, Kubernetes, and distributed systems design.
- AI Expertise: Strong background in NLP, Transformers, and fine-tuning Large Language Models.
- Leadership: Proven track record of leading technical teams and managing cross-functional projects.
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.