Job Description
Shape the Future of Technology
Nexus Horizon Solutions is at the forefront of innovation, and we are seeking a visionary Senior AI Architect (2026 Roadmap) to define the technological landscape for the coming decade. In this pivotal role, you will bridge the gap between theoretical AI advancements and practical, scalable enterprise solutions. You will be responsible for architecting the systems that will power our products through 2026 and beyond.
We are looking for a thought leader who not only understands current Deep Learning architectures but can anticipate and design for the paradigm shifts of 2026.
Why Join Us?
- Work on cutting-edge generative models and autonomous systems.
- Competitive compensation and equity package.
- Flexible remote-first culture.
- Access to state-of-the-art compute infrastructure.
Apply today to build the future with us.
Responsibilities
- Lead the architectural design and implementation of AI infrastructure targeted for the 2026 release cycle.
- Conduct rigorous research into emerging AI trends, including Multimodal Learning and Neuromorphic Computing.
- Collaborate with cross-functional teams (Product, Engineering, and Data Science) to translate strategic goals into technical blueprints.
- Optimize model inference pipelines to ensure high performance and low latency in production environments.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence.
- Evaluate and integrate third-party AI APIs and open-source frameworks to accelerate development.
- Ensure all AI systems adhere to strict ethical guidelines, data privacy regulations, and security standards.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field (or equivalent extensive experience).
- 10+ years of professional experience in software engineering, with at least 5 years specializing in Machine Learning and AI.
- Deep expertise in Python, TensorFlow, PyTorch, and modern MLOps tools.
- Proven track record of deploying large-scale AI models into production.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.
- Excellent verbal and written communication skills for technical storytelling.