Job Description
Shape the Future of Intelligence.
Nexus Horizon Technologies is pioneering the next generation of Autonomous AI Agents for 2026. We are looking for a visionary Lead AI Architect to design the neural frameworks that will power the next decade of self-sufficient software ecosystems. If you are passionate about the intersection of Generative AI, Reinforcement Learning, and Ethical Autonomy, we want to meet you.
In this role, you won't just maintain legacy systems; you will architect the brain of tomorrow's digital workforce. You will lead a world-class team of machine learning engineers to build scalable, secure, and intelligent systems that operate with minimal human intervention.
Why Join Us?
- Work at the forefront of the 2026 AI landscape, focusing on AGI readiness.
- Competitive compensation package including equity and performance bonuses.
- Flexible remote-first culture with state-of-the-art equipment.
Core Responsibilities:
- Architect and implement robust Autonomous Agent frameworks capable of complex, multi-step reasoning and execution.
- Design scalable neural network architectures that integrate Large Language Models (LLMs) with real-time decision-making logic.
- Lead the R&D strategy for next-generation Reinforcement Learning environments.
- Ensure AI safety, transparency, and alignment with human values across all deployed systems.
- Mentor senior engineers and foster a culture of innovation and technical excellence.
Qualifications:
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering with a specific focus on Machine Learning.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Proven track record of deploying production-grade AI models with high availability.
- Experience with Multi-Agent Systems and Semantic Search technologies.
- Strong understanding of the ethical implications of advanced AI deployment.
Skills: Python, PyTorch, TensorFlow, Distributed Systems, Reinforcement Learning, LLMs, AGI, Cloud Computing (AWS/GCP), Kubernetes.
Responsibilities
- Architect and implement robust Autonomous Agent frameworks capable of complex, multi-step reasoning and execution.
- Design scalable neural network architectures that integrate Large Language Models (LLMs) with real-time decision-making logic.
- Lead the R&D strategy for next-generation Reinforcement Learning environments.
- Ensure AI safety, transparency, and alignment with human values across all deployed systems.
- Mentor senior engineers and foster a culture of innovation and technical excellence.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering with a specific focus on Machine Learning.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Proven track record of deploying production-grade AI models with high availability.
- Experience with Multi-Agent Systems and Semantic Search technologies.
- Strong understanding of the ethical implications of advanced AI deployment.