Job Description
We are on the precipice of a new era. Nexus Horizon Inc. is seeking a visionary Senior AI Architect to spearhead Project 2026, a next-generation initiative aimed at revolutionizing autonomous decision-making systems. We are looking for a leader who thrives in ambiguity and is passionate about pushing the boundaries of what is possible with artificial intelligence and quantum computing integration. You will define the technical DNA of our flagship product and lead a world-class engineering team.
Responsibilities
- Architect and deploy scalable machine learning pipelines for Project 2026, ensuring high availability and fault tolerance.
- Lead a team of engineers in developing next-generation neural network architectures and reinforcement learning models.
- Conduct deep-dive research into emerging AI paradigms, specifically focusing on temporal prediction and generative models.
- Optimize model performance for real-time edge processing and massive data ingestion.
- Collaborate closely with product managers and data scientists to translate complex business requirements into robust technical solutions.
- Mentor junior developers, conduct technical code reviews, and foster a culture of continuous learning and innovation.
- Define and enforce engineering standards, security protocols, and best practices across the organization.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in a specialized AI/ML architecture role.
- Strong proficiency in Python, PyTorch, or TensorFlow, with deep understanding of distributed systems.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of leading high-performance engineering teams through complex product lifecycles.
- Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Experience with big data technologies (Spark, Kafka, Hadoop) and database systems.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.