Job Description
We are on the cutting edge of innovation, preparing to define the technological landscape for the year 2026. Nexus Horizon Technologies is seeking a visionary Senior AI Architect to lead our strategic R&D initiatives. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems, ensuring our platforms are ready for the next era of computing. You will be instrumental in architecting solutions that leverage Generative AI, Spatial Computing, and Predictive Analytics to drive business growth.
Why Join Us?
- Impactful Work: Shape the infrastructure that will power the future of enterprise technology.
- Future-Ready Environment: Work in a dynamic, forward-thinking culture that embraces emerging technologies.
- Competitive Compensation: A comprehensive benefits package including equity, health, and wellness programs.
If you are a thought leader passionate about the convergence of artificial intelligence and system architecture, we want to hear from you.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable, high-performance AI architectures tailored for the 2026 technological landscape.
- Lead R&D Initiatives: Spearhead research projects exploring Large Language Models (LLMs), reinforcement learning, and next-gen neural networks.
- Technical Strategy: Define the long-term technical roadmap for AI integration across all product lines.
- Model Optimization: Oversee the training, fine-tuning, and deployment of machine learning models to ensure efficiency and accuracy.
- Cross-Functional Leadership: Collaborate with product managers, engineers, and designers to translate complex AI concepts into user-centric solutions.
- Code Review & Mentorship: Establish best practices for code quality and mentor junior data scientists and engineers.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of professional experience in software engineering, with at least 3-5 years specifically in AI/ML architecture.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
- Strategic Mindset: Demonstrated ability to think strategically about technology trends and their business implications.
- Problem Solving: Strong analytical skills with a proven track record of solving complex engineering challenges.
- Communication: Excellent verbal and written communication skills, with the ability to articulate technical concepts to non-technical stakeholders.