Job Description
We are pioneering the technology stack for 2026 and beyond. Nexus Horizon Technologies is seeking a visionary Senior AI Architect to lead our next-generation machine learning initiatives. You will define the architectural blueprints for our future products, bridging the gap between theoretical AI research and scalable production systems.
In this role, you will not just use existing tools; you will help define the standards for how artificial intelligence integrates into enterprise workflows in the coming decade. If you are obsessed with innovation and have a passion for building systems that think, we want to hear from you.
Responsibilities
- Define the 2026 Roadmap: Lead the strategic vision for our AI architecture, identifying emerging trends in Generative AI, Quantum computing integration, and edge deployment.
- Design Scalable Systems: Architect high-performance, fault-tolerant machine learning pipelines capable of processing petabytes of data in real-time.
- Lead Research & Development: Drive internal R&D initiatives to improve model accuracy, reduce latency, and enhance inference efficiency.
- Tech Stack Leadership: Select and implement the latest frameworks and languages, ensuring our stack remains future-proof against obsolescence.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Cross-Functional Collaboration: Partner with product managers and engineering leads to translate complex business requirements into robust technical solutions.
- Performance Optimization: Continuously monitor system performance and implement best practices for MLOps and DevOps integration.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field (or equivalent practical experience).
- Experience: 8+ years of professional experience in software engineering and machine learning, with at least 3 years in a lead or architect role.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning architectures (Transformers, GNNs).
- Cloud Architecture: Proven experience designing systems on AWS, Azure, or GCP with a focus on serverless and containerized environments.
- System Design: Strong understanding of distributed systems, microservices, and high-availability infrastructure.
- Problem Solving: Exceptional ability to troubleshoot complex technical challenges and design elegant, scalable solutions.
- Communication: Excellent verbal and written communication skills, capable of articulating complex technical concepts to non-technical stakeholders.