Job Description
Are you ready to architect the world of 2026? Nexus Horizon Technologies is seeking a visionary AI Architect to lead our cutting-edge initiative focused on next-generation Artificial General Intelligence (AGI). We are not just building software; we are defining the future of human-machine interaction.
In this role, you will be at the forefront of innovation, bridging the gap between theoretical research and practical deployment. You will work alongside world-class engineers, data scientists, and futurists to solve complex problems that will define the technological landscape of the mid-2020s.
Why Join Us?
We offer a competitive salary, equity packages, and a remote-first culture that encourages radical innovation. If you are passionate about pushing the boundaries of what is possible in AI, this is your chance to leave a lasting legacy.
Responsibilities
- Design and implement scalable, robust AI architectures capable of operating in dynamic, real-time environments.
- Lead the research and development of Neural Network models, specifically focusing on reinforcement learning and generative AI.
- Collaborate with cross-functional teams to integrate AI solutions into broader product ecosystems.
- Establish best practices for data governance, model training, and ethical AI deployment.
- Mentor junior engineers and researchers, fostering a culture of continuous learning and technical excellence.
- Identify emerging trends in quantum computing and edge AI to integrate into our 2026 roadmap.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence.
- Minimum of 5 years of professional experience in software engineering, with at least 3 years specifically in AI/ML development.
- Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Strong understanding of distributed systems, cloud infrastructure (AWS, GCP, or Azure), and microservices architecture.
- Proven track record of deploying large-scale machine learning models into production environments.
- Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.