Job Description
Are you ready to architect the infrastructure for 2026 and beyond?
Nexus Horizon Technologies is at the forefront of innovation, pushing the boundaries of what is possible in artificial intelligence and next-generation computing. We are seeking a visionary Senior AI & Future Systems Architect to lead our R&D initiatives, designing scalable, intelligent systems that will define the technological landscape of the future.
In this role, you will not just implement existing technologies; you will pioneer new methodologies for AI integration, ensuring our platforms remain resilient and cutting-edge in a rapidly evolving digital ecosystem.
Why Join Us?
- Shape the Future: Work on high-impact projects that directly influence the roadmap for the next decade.
- Autonomy: Lead architectural decisions with the freedom to experiment and innovate.
- Competitive Compensation: Base salary up to $250,000 plus equity package.
Responsibilities
- Design and implement scalable AI architectures that integrate seamlessly with existing cloud infrastructure.
- Lead the research and development of emerging technologies, including generative AI and predictive analytics, to drive product innovation.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex business requirements into technical blueprints.
- Mentor junior architects and engineers, fostering a culture of technical excellence and continuous learning.
- Evaluate and integrate third-party AI APIs and proprietary models to enhance platform capabilities.
- Ensure system security, compliance, and high availability across all AI deployments.
- Present architectural roadmaps and technical strategies to executive leadership and stakeholders.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred).
- Minimum of 7 years of experience in software architecture, with at least 3 years specifically in AI/ML system design.
- Proven expertise in programming languages such as Python, Java, or C++.
- Deep understanding of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Azure, GCP).
- Strong grasp of distributed systems principles, microservices architecture, and containerization (Docker, Kubernetes).
- Excellent problem-solving skills with a track record of delivering complex projects on time.
- Strong communication skills, with the ability to explain technical concepts to non-technical audiences.