Job Description
The year 2026 is not just a date; it is a horizon. At Nexus Horizon, we are not just preparing for the future; we are architecting it. We are seeking a visionary AI Infrastructure Architect to lead our global technology stack and design the scalable systems that will power the next generation of intelligent applications.
In this pivotal role, you will bridge the gap between cutting-edge AI research and rock-solid engineering practices. You will ensure our cloud-native environments are robust, secure, and capable of handling the exponential growth of data. If you are passionate about building resilient systems for a smarter world, we want to hear from you.
Why Join Nexus Horizon?
- Work with a world-class team of futurists and engineers.
- Shape the technical roadmap for the AI landscape of 2026 and beyond.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium San Francisco benefits.
Responsibilities
- Design and implement scalable, high-performance AI infrastructure architectures across cloud platforms (AWS, Azure, GCP).
- Lead the migration and modernization of legacy systems to support advanced machine learning workloads.
- Collaborate with data scientists and ML engineers to optimize model deployment pipelines for speed and efficiency.
- Establish best practices for security, observability, and disaster recovery in AI environments.
- Drive technical innovation by evaluating emerging technologies and frameworks relevant to the 2026 tech landscape.
- Mentor junior engineers and foster a culture of continuous learning and technical excellence.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in a leadership or architect role.
- Deep expertise in designing distributed systems and high-availability cloud architectures.
- Strong proficiency in Python, Go, or Java, with experience integrating AI/ML libraries.
- Proven track record of managing large-scale deployments and infrastructure as code (Terraform, Ansible).
- Experience with container orchestration (Kubernetes) and serverless computing models.
- Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.