Job Description
Are you ready to define the future of technology?
Nexus Horizon is pioneering the next generation of generative AI solutions. We are seeking a visionary AI Architect for 2026 to lead the architectural vision for our upcoming flagship platform. This role is not just about writing code; it's about architecting the intelligence that will power our ecosystem through the 2026 roadmap and beyond.
Why Join Us?
- Work at the forefront of the AI revolution with a team of industry leaders.
- Shape the technical stack that will define the industry standard for 2026.
- Competitive compensation and equity packages.
What You Will Do
As the AI Architect for 2026, you will bridge the gap between theoretical AI research and scalable production engineering. You will be responsible for designing robust, scalable, and secure AI infrastructure that can handle massive data throughput and complex model inference.
Responsibilities
- Define and execute the technical roadmap for AI infrastructure leading up to the 2026 launch.
- Design scalable microservices architecture for Large Language Models (LLMs) and generative AI tools.
- Collaborate with cross-functional teams to integrate AI models into core product features.
- Ensure data privacy, security, and compliance with industry standards (GDPR, SOC2).
- Mentor senior engineers and guide the technical direction of the AI engineering team.
- Optimize model performance and reduce inference latency in real-time environments.
Qualifications
- PhD or Master's degree in Computer Science, Machine Learning, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years focused on AI/ML systems architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and model serving frameworks.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Proven track record of deploying production-grade AI applications at scale.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.