Job Description
We are looking for a visionary Principal AI Architect to lead the charge in defining the technological landscape of 2026 and beyond. At Nexus Horizon Labs, we are building the infrastructure for the next generation of generative intelligence.
In this pivotal role, you won't just maintain existing systems; you will architect the core neural frameworks that will power our products for the next decade. If you are passionate about pushing the boundaries of machine learning, ensuring ethical AI implementation, and leading high-performance engineering teams, we want to hear from you.
Why Join Us?
- Future-Ready Role: Work on cutting-edge projects designed to scale in the 2026 market.
- Competitive Compensation: Base salary of $165k - $235k plus equity and performance bonuses.
- Top-Tier Team: Collaborate with PhDs and industry veterans in a state-of-the-art facility.
Ready to shape the future? Apply today.
Responsibilities
- Architect and deploy scalable large-scale language models (LLMs) and generative AI frameworks.
- Lead the research and development of proprietary AI algorithms to ensure competitive advantage.
- Define technical vision and strategy for AI infrastructure across the organization.
- Mentor senior engineers and guide architectural decisions to ensure best practices in MLOps.
- Collaborate with product managers to translate business requirements into technical AI solutions.
- Ensure data privacy, security, and ethical AI compliance across all deployments.
- Optimize model performance, latency, and throughput for real-time applications.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven experience designing and implementing Large Language Models (LLMs) or similar NLP systems.
- Strong understanding of distributed systems, cloud computing (AWS/GCP), and containerization (Docker/Kubernetes).
- Experience with MLOps pipelines, model versioning, and deployment strategies.
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field is preferred.
- Exceptional leadership skills with a track record of leading high-performing engineering teams.