Job Description
Are you ready to define the technological landscape of 2026? Nexus Horizon AI is seeking a visionary Future-Ready AI Architect to lead our next-generation infrastructure.
In this role, you won't just maintain legacy systems; you will architect the core of our AI-driven ecosystem. We are looking for a pioneer who can bridge the gap between theoretical AI advancements and practical, scalable enterprise solutions. If you thrive on building systems that are designed to last and evolve, this is your opportunity to shape the future.
Why Join Us?
- Work with cutting-edge Generative AI and LLM technologies.
- Competitive compensation package with equity options.
- Flexible remote-first culture with headquarters in Austin.
Key Responsibilities:
- Architect and deploy scalable AI and machine learning infrastructure designed for 2026 standards.
- Lead the strategic roadmap for integrating GenAI into core business processes.
- Collaborate with cross-functional teams to define technical vision and product requirements.
- Mentor engineering talent and foster a culture of innovation and continuous learning.
- Optimize cloud-native architectures for maximum performance and cost-efficiency.
- Conduct research on emerging technologies to stay ahead of industry trends.
Qualifications:
- 7+ years of experience in software engineering, data science, or AI architecture.
- Proven expertise in designing complex, distributed systems using Python, Java, or Go.
- Deep understanding of Machine Learning frameworks (TensorFlow, PyTorch) and LLMs.
- Strong background in cloud platforms (AWS, Azure, or GCP) with relevant certifications.
- Experience with MLOps, CI/CD pipelines, and containerization (Docker/Kubernetes).
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
Ready to build the future? Apply today to join the Nexus Horizon team.
Responsibilities
- Architect and deploy scalable AI and machine learning infrastructure designed for 2026 standards.
- Lead the strategic roadmap for integrating GenAI into core business processes.
- Collaborate with cross-functional teams to define technical vision and product requirements.
- Mentor engineering talent and foster a culture of innovation and continuous learning.
- Optimize cloud-native architectures for maximum performance and cost-efficiency.
- Conduct research on emerging technologies to stay ahead of industry trends.
Qualifications
- 7+ years of experience in software engineering, data science, or AI architecture.
- Proven expertise in designing complex, distributed systems using Python, Java, or Go.
- Deep understanding of Machine Learning frameworks (TensorFlow, PyTorch) and LLMs.
- Strong background in cloud platforms (AWS, Azure, or GCP) with relevant certifications.
- Experience with MLOps, CI/CD pipelines, and containerization (Docker/Kubernetes).
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.