Job Description
Join the Architects of Tomorrow.
Nexus Horizon Systems is pioneering the next generation of Artificial General Intelligence (AGI) to define the technological landscape of 2026. We are seeking a visionary Senior AI Architect to lead the engineering of our flagship autonomous systems and shape the roadmap for the future of human-machine interaction.
In this high-impact role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production infrastructure. You will work closely with our research division to translate cutting-edge algorithms into robust, ethical, and efficient AI solutions that will power the world into the next decade.
Why Nexus Horizon?
- Work on projects that define the future of technology.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium tech amenities.
- Opportunity to mentor the next generation of AI engineers.
Responsibilities
- Design and implement scalable machine learning pipelines and large language model (LLM) architectures tailored for 2026-era deployment.
- Lead the architectural strategy for our autonomous agent framework, ensuring high availability, fault tolerance, and low-latency inference.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to drive innovation from concept to deployment.
- Establish best practices for MLOps, model monitoring, and ethical AI governance within the organization.
- Conduct code reviews and provide technical mentorship to junior and mid-level engineers to foster a culture of excellence.
- Research and evaluate emerging AI technologies to keep the 2026 roadmap ahead of industry standards.
Qualifications
- Master’s or PhD degree in Computer Science, Machine Learning, or a related quantitative field.
- 10+ years of experience in software engineering with a strong focus on AI/ML systems.
- Deep expertise in Python, PyTorch, or TensorFlow, with a proven track record of deploying production-grade models.
- Experience with distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization technologies (Kubernetes/Docker).
- Strong understanding of Natural Language Processing (NLP), Reinforcement Learning, or Computer Vision.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.