Job Description
We are at the forefront of innovation, building the infrastructure for the digital future. Nexus Horizon Technologies is seeking a visionary Senior AI Architect to lead our research into next-generation artificial intelligence, specifically targeting the technological landscape of 2026 and beyond.
In this pivotal role, you will design scalable, robust, and ethically responsible AI systems. You will bridge the gap between theoretical research and production-grade engineering, ensuring our platforms remain competitive in a rapidly evolving tech ecosystem. If you are passionate about shaping the future of AI and possess a deep understanding of emerging paradigms, we want to hear from you.
Why Join Us?
• Competitive compensation and equity package.
• Work on cutting-edge projects that define the industry standard.
• Flexible remote-first culture with a high-performance mindset.
Responsibilities
- Architectural Design: Lead the design and implementation of complex AI and machine learning systems, focusing on scalability and future-proofing for 2026 tech stacks.
- R&D Leadership: Conduct research and prototype next-generation algorithms, including Generative AI, Reinforcement Learning, and Quantum-inspired computing solutions.
- Technical Strategy: Define the technical roadmap for AI initiatives, collaborating with C-level executives and product teams to align business goals with technological capabilities.
- Model Optimization: Oversee the deployment, tuning, and optimization of large-scale models to ensure high performance and low latency in production environments.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Compliance & Ethics: Ensure all AI systems adhere to strict data privacy regulations and ethical AI guidelines.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related field; equivalent practical experience is accepted.
- Experience: 7+ years of professional experience in software engineering and machine learning, with at least 3 years in a senior architecture or lead role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX; deep understanding of distributed systems and cloud architecture (AWS, GCP, or Azure).
- Future Tech Savvy: Demonstrated experience or strong interest in emerging technologies such as LLMs, Computer Vision, or Edge AI.
- Problem Solving: Exceptional ability to solve complex, unstructured problems and design systems that can handle massive data throughput.
- Communication: Excellent written and verbal communication skills, with the ability to translate technical concepts for non-technical stakeholders.