Job Description
Shape the Future of Technology
We are seeking a visionary Senior AI Architect to help define the technological roadmap for 2026. At Nexus Horizon Systems, we aren't just building software; we are architecting the future of intelligent automation. If you are passionate about Generative AI, Large Language Models (LLMs), and scalable infrastructure, we want to hear from you.
You will work in a high-performance environment where innovation is the currency. You will lead a team of brilliant engineers in deploying state-of-the-art models that power enterprise-grade solutions. This is a rare opportunity to influence the trajectory of AI technology in the United States.
Responsibilities
- Architecting the Future: Design and implement robust, scalable AI infrastructure ready for the demands of 2026 and beyond.
- Model Development: Lead the research and deployment of Generative AI models, ensuring high accuracy and low latency.
- MLOps Integration: Build and maintain CI/CD pipelines for machine learning models, facilitating seamless updates and monitoring.
- Strategic Guidance: Provide technical leadership and mentorship to junior engineers and data scientists, fostering a culture of continuous learning.
- Cross-Functional Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into actionable business solutions.
- Performance Optimization: Continuously optimize model inference and training processes to handle massive datasets efficiently.
Qualifications
- Education: Master’s degree in Computer Science, Data Science, or a related field (PhD preferred).
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or architect role.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and experience with MLOps tools (Kubeflow, MLflow).
- Cloud Expertise: Strong experience deploying models on AWS, GCP, or Azure using containerization (Docker/Kubernetes).
- Domain Knowledge: Proven track record in NLP, Computer Vision, or Reinforcement Learning.
- Problem Solving: Demonstrated ability to solve complex technical challenges and innovate under pressure.