Job Description
Shape the Future of Artificial Intelligence
Are you ready to architect the next generation of intelligent systems? Nexus Horizon is seeking a visionary Senior AI Architect to lead our cutting-edge initiatives and define the technological roadmap for 2026 and beyond.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable enterprise solutions. You will work alongside world-class engineers and data scientists to build systems that are not only powerful today but are built to scale for the future.
Responsibilities
- Define the 2026 Strategic Roadmap: Lead the architectural vision for AI systems, ensuring long-term scalability and innovation aligned with industry trends.
- Design Scalable Infrastructure: Architect robust, fault-tolerant cloud-native systems that handle massive data loads and real-time processing.
- Lead Technical Strategy: Guide the selection and implementation of cutting-edge AI frameworks, including LLMs, generative AI, and predictive analytics.
- Mentor Engineering Teams: Foster a culture of technical excellence by mentoring junior architects and senior developers.
- Optimize Performance: Continuously improve model inference speeds and reduce latency to ensure seamless user experiences.
- Ensure Ethical AI: Implement governance frameworks to ensure AI outputs are fair, transparent, and compliant with global regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, or similar frameworks. Strong understanding of distributed systems and cloud architecture (AWS, GCP, or Azure).
- Strategic Vision: Proven track record of defining product roadmaps and translating business requirements into technical architectures.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Certifications: AWS Solutions Architect Professional or Google Professional Machine Learning Engineer is a plus.