Job Description
We are seeking a visionary Chief AI & Future Tech Architect to define the technological roadmap for 2026 and beyond. At Nexus Horizon Systems, we aren't just building software; we are architecting the future of intelligent infrastructure. If you possess a deep understanding of generative AI, predictive analytics, and scalable cloud ecosystems, we want to hear from you.
In this high-impact role, you will lead a world-class team in developing cutting-edge solutions that will dominate the market in the coming years. You will bridge the gap between theoretical innovation and practical application, ensuring our infrastructure is robust, scalable, and future-proof.
Responsibilities
- Define the 2026 Roadmap: Lead the strategic vision for our AI capabilities, identifying emerging trends and technologies that will shape the next decade of our industry.
- Architect Intelligent Systems: Design and oversee the deployment of complex, high-performance AI and machine learning systems that drive core business value.
- R&D Leadership: Spearhead research initiatives in Large Language Models (LLMs) and computer vision to maintain a competitive edge.
- Team Mentorship: Cultivate a culture of innovation, mentoring senior engineers and architects to ensure best practices in code and system design.
- Stakeholder Collaboration: Translate complex technical concepts into actionable business strategies for executive leadership and product teams.
- Infrastructure Scalability: Ensure our cloud-native architecture can handle massive data throughput and future user growth.
Qualifications
- Experience: 10+ years of experience in software engineering, with at least 5 years in a senior or lead AI/ML architecture role.
- Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS, GCP, or Azure).
- Strategic Thinking: Proven track record of defining long-term technical roadmaps and delivering on ambitious timelines.
- Problem Solving: Exceptional ability to solve unstructured problems and design elegant solutions for complex challenges.
- Leadership: Demonstrated experience leading high-performance engineering teams through periods of rapid growth.
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.