Job Description
Are you ready to define the technological landscape of 2026? Nexus Horizon is seeking a visionary Senior AI Architect to lead our next-generation engineering initiatives. In this pivotal role, you won't just build systems; you will architect the future, ensuring our AI infrastructure is scalable, secure, and ready to dominate the market by 2026.
We are looking for a thought leader who thrives in ambiguity and possesses a deep understanding of Generative AI, Large Language Models (LLMs), and edge computing. You will work directly with C-level executives to translate ambitious 2026 business goals into technical reality.
Why Join Us?
- Impactful Work: Play a key role in the strategic evolution of our core products.
- Future-Forward Culture: We are a remote-first team with a focus on innovation and autonomy.
- Competitive Compensation: Comprehensive benefits package including equity options.
Responsibilities
- Define the 2026 Tech Roadmap: Lead the architectural design and implementation of high-impact AI systems targeting the 2026 release cycle.
- System Architecture: Design scalable, distributed microservices architectures capable of handling massive data throughput.
- AI Strategy: Identify and evaluate emerging AI technologies (e.g., multimodal models, autonomous agents) that align with our long-term vision.
- Team Leadership: Mentor senior engineers and architects, fostering a culture of technical excellence and continuous learning.
- Performance Optimization: Oversee the optimization of model inference and data pipelines to ensure 99.99% uptime.
- Cross-Functional Collaboration: Partner with product managers and data scientists to bridge the gap between theoretical AI models and production-ready applications.
- R&D Innovation: Drive proof-of-concept projects to validate new technologies before full-scale deployment.
Qualifications
- Experience: 10+ years of experience in software engineering, with at least 5 years in a lead or architect role.
- Technical Mastery: Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
- Architecture: Proven track record designing cloud-native architectures on AWS, Azure, or GCP.
- Leadership: Demonstrated ability to lead high-performance engineering teams and drive technical decisions.
- Education: Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s degree preferred.
- Problem Solving: Exceptional ability to solve complex, ambiguous problems with elegant technical solutions.
- Communication: Excellent verbal and written communication skills for executive-level presentations.