Job Description
We are seeking a visionary Senior AI Architect to define the technological landscape for the 2026 strategic roadmap. At Nexus Horizon Labs, we don't just predict the future; we engineer it. As a leader in our engineering division, you will be responsible for designing scalable, ethical, and high-performance AI systems that will define the next era of human-machine collaboration.
Join a team of elite engineers and data scientists working on cutting-edge generative models, autonomous systems, and predictive analytics. You will have the autonomy to shape architectural standards, mentor junior talent, and drive innovation that pushes the boundaries of what is possible in technology.
Responsibilities
- Architectural Leadership: Design and implement robust, scalable AI infrastructure designed to support enterprise growth through 2026 and beyond.
- R&D Strategy: Lead research initiatives to explore emerging technologies, including Large Language Models (LLMs) and neuromorphic computing.
- System Integration: Oversee the integration of AI models into existing cloud ecosystems, ensuring seamless interoperability and minimal latency.
- Code Review & Mentorship: Conduct rigorous code reviews and provide technical mentorship to a diverse team of software engineers and data scientists.
- Compliance & Ethics: Establish frameworks for AI governance, ensuring all systems adhere to strict ethical standards and regulatory compliance.
- Performance Optimization: Continuously optimize algorithms for speed, accuracy, and resource efficiency to handle massive data workloads.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 3 years in a senior AI or Machine Learning architecture role.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and experience with distributed computing systems (e.g., Kubernetes, Apache Spark).
- Cloud Proficiency: Strong proficiency in AWS, Google Cloud Platform (GCP), or Azure architecture.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems and translate business requirements into technical solutions.
- Communication: Excellent verbal and written communication skills, with the ability to present technical concepts to non-technical stakeholders.