Job Description
Welcome to Nexus Horizon. We are not just building software; we are architecting the future of human-machine interaction for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our core intelligence division. In this role, you will define the technical roadmap for our next-generation autonomous systems, ensuring our solutions are scalable, ethical, and ahead of the curve. If you are passionate about pushing the boundaries of Generative AI and Large Language Models, this is your opportunity to shape the technological landscape of tomorrow.
Why Join Us?
- Shape the Future: Work on cutting-edge projects that define the trajectory of AI adoption in 2026.
- Competitive Compensation: Base salary ranging from $180,000 to $260,000, plus equity and annual bonuses.
- Modern Tech Stack: Work with the latest frameworks including PyTorch, TensorFlow, and proprietary cloud-native solutions.
- Flexible Culture: Embrace a hybrid work environment that prioritizes creativity and work-life balance.
Responsibilities
- Design and implement scalable AI architectures capable of handling petabyte-scale data streams and real-time inference.
- Lead the end-to-end development lifecycle of machine learning models, from data ingestion and training to deployment and monitoring.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Establish best practices for MLOps, ensuring model reliability, version control, and automated retraining pipelines.
- Mentor junior engineers and architects, fostering a culture of continuous learning and technical excellence.
- Stay at the forefront of industry trends, researching emerging AI technologies to integrate them into our roadmap.
Qualifications
- 7+ years of professional experience in software engineering, with at least 3 years in AI/ML architecture.
- Deep expertise in Python, C++, or Java, with proven proficiency in deep learning frameworks (PyTorch or TensorFlow).
- Strong background in distributed systems, cloud computing (AWS, GCP, or Azure), and containerization (Docker/Kubernetes).
- Experience designing and optimizing Large Language Models (LLMs) or Generative AI applications.
- Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.