Job Description
We are Nexus Horizon Systems, a pioneering force in advanced technology. As we accelerate towards the technological landscape of 2026, we are looking for a visionary Lead AI Architect to help us define the future of generative intelligence and human-computer symbiosis.
In this role, you will not just maintain existing systems; you will architect the infrastructure that powers the next decade of innovation. You will work with a world-class team to integrate cutting-edge LLMs, neural architectures, and predictive algorithms into scalable, enterprise-grade solutions.
Why join us?
We offer competitive equity, a flexible remote-first culture, and the opportunity to leave a lasting legacy in the tech world.
Responsibilities
- Architect Next-Gen AI Solutions: Design and implement robust, scalable AI infrastructure tailored for the 2026 technological landscape.
- Lead Research & Development: Spearhead R&D initiatives in Large Language Models (LLMs), Computer Vision, and autonomous agents.
- System Integration: Oversee the seamless integration of AI models into production environments, ensuring high performance and low latency.
- Team Mentorship: Guide a diverse team of engineers and data scientists, fostering a culture of innovation and technical excellence.
- Strategic Roadmapping: Define the technical roadmap for AI capabilities, aligning them with long-term business objectives.
- Ethical AI Compliance: Ensure all AI systems adhere to strict ethical guidelines, safety protocols, and regulatory standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 4 years in leading AI/ML architecture roles.
- Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
- AI Specialization: Proven track record of deploying state-of-the-art models (e.g., GPT-4, Claude, or custom LLMs).
- Problem Solving: Exceptional ability to solve complex, ambiguous problems with innovative technical solutions.
- Communication: Strong verbal and written communication skills, capable of translating complex technical concepts for diverse stakeholders.