Job Description
Are you ready to architect the future?
Nexus Horizon Labs is at the forefront of the technological revolution, building the infrastructure for a smarter 2026. We are seeking a visionary AI Integration Architect to bridge the gap between complex artificial intelligence models and scalable, production-ready enterprise systems.
In this pivotal role, you won't just write code; you will define the ethical framework and technical backbone for the next generation of digital experiences. If you thrive in a high-stakes, forward-thinking environment and possess a deep understanding of generative AI, large language models, and distributed systems, we want to meet you.
Why Join Us?
- Work on projects that are shaping the trajectory of human-computer interaction.
- Competitive compensation and equity packages.
- Access to cutting-edge hardware and research facilities.
Responsibilities
- Design and implement scalable microservices architecture for AI model deployment.
- Lead the integration of Generative AI models into legacy enterprise systems.
- Establish best practices for data governance, model bias mitigation, and explainability.
- Collaborate with cross-functional teams to define technical roadmaps for 2026 and beyond.
- Mentor junior engineers and foster a culture of continuous innovation.
- Optimize system performance and ensure 99.99% uptime for critical AI workloads.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in software architecture, backend development, or systems engineering.
- Deep expertise in Python, Go, or Rust with a focus on high-performance computing.
- Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization (Kubernetes/Docker).
- Strong understanding of Large Language Models (LLMs), prompt engineering, and RAG architectures.
- Experience implementing ethical AI guidelines and data privacy standards (GDPR/CCPA).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.