Job Description
Shape the Future of Intelligence in 2026
Nexus Horizon Labs is pioneering the next generation of autonomous systems. We are seeking a visionary Lead Agentic AI Architect to design and deploy the infrastructure that powers our 2026 roadmap. If you are passionate about the intersection of Generative AI, decision-making algorithms, and scalable systems, this is your chance to lead a world-class engineering team.
Why Join Us?
At Nexus Horizon, we don't just predict the future; we build it. You will have the autonomy to architect robust, self-improving AI agents that solve complex problems in real-time. We offer top-tier compensation, equity packages, and a culture that rewards innovation over convention.
Responsibilities
- Design and architect scalable Agentic AI frameworks capable of autonomous decision-making.
- Lead the integration of Large Language Models (LLMs) into complex, multi-agent workflows.
- Optimize model inference latency and reduce operational costs for large-scale deployments.
- Mentor senior engineers and define technical best practices for the AI research team.
- Collaborate with product leadership to define the technical roadmap for the 2026 release cycle.
- Implement rigorous testing strategies for AI agents to ensure reliability and safety.
- Stay ahead of industry trends in multimodal AI and reinforcement learning.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, Rust, and modern deep learning frameworks (PyTorch, TensorFlow).
- Proven track record of deploying production-grade machine learning models at scale.
- Strong understanding of distributed systems, microservices, and cloud infrastructure (AWS/GCP).
- Experience with LLM fine-tuning, RAG (Retrieval-Augmented Generation), and agent orchestration.
- Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.