Job Description
Are you ready to shape the technological landscape of 2026? Nexus Horizon Technologies is on the lookout for a visionary Futurist AI Architect to lead our next-generation platform development. In this pivotal role, you will define the architectural blueprints that will power our products for the future, integrating cutting-edge generative AI with scalable cloud infrastructure.
We are not just building software; we are architecting the future. If you thrive in a fast-paced, high-impact environment and are passionate about the convergence of human potential and machine intelligence, we want to meet you.
Why Join Us?
- Work on the bleeding edge of AI and predictive analytics.
- Competitive compensation and equity package.
- Unlimited PTO and remote-first flexibility.
- Opportunity to define the roadmap for 2026 and beyond.
Responsibilities
- Lead the architectural vision and technical strategy for our 2026 product roadmap, focusing on Generative AI and predictive modeling.
- Design and implement scalable microservices architectures using modern cloud-native technologies.
- Collaborate with cross-functional teams to integrate Large Language Models (LLMs) into core business workflows.
- Drive technical excellence by establishing coding standards, review processes, and best practices for AI deployment.
- Optimize system performance, security, and reliability to ensure seamless user experiences.
- Identify emerging technologies and evaluate their potential for future integration.
- Mentor and guide a team of senior engineers and data scientists.
Qualifications
- 10+ years of experience in software architecture, with at least 5 years in a leadership role.
- Deep expertise in Python, Rust, or Go, with hands-on experience in AI/ML frameworks (TensorFlow, PyTorch, or Hugging Face).
- Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of delivering complex, high-scale distributed systems.
- Experience with MLOps, data pipelines, and real-time data processing.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Artificial Intelligence, or a related field is preferred.