Job Description
Join the Future of Intelligence. Nexus Innovations is currently assembling the elite engineering team for our proprietary 2026 Protocol project—a next-generation autonomous decision-making framework. We are looking for a visionary Senior AI Architect to design the scalable backbone of this revolutionary system.
In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and production-grade infrastructure. You will be responsible for defining the architectural strategy that powers our 2026 roadmap, ensuring our solutions are not only intelligent but secure, efficient, and future-proof.
Why Nexus?
- Impactful Work: Directly influence the architecture that will define the industry standard for 2026.
- Top-Tier Compensation: Competitive salary plus equity packages for top performers.
- Remote-First Culture: Work with the best minds from anywhere in the US.
Are you ready to architect the future? Apply today.
Responsibilities
- Lead the end-to-end architectural design of the 2026 Protocol infrastructure, focusing on high availability and low-latency processing.
- Define and implement data pipelines and machine learning workflows that integrate seamlessly with legacy systems.
- Mentor junior architects and engineers, fostering a culture of technical excellence and innovation.
- Conduct rigorous code reviews and system architecture assessments to ensure security and scalability standards are met.
- Collaborate with cross-functional product teams to translate business requirements into technical specifications.
- Stay abreast of cutting-edge AI research and emerging technologies to integrate relevant advancements into the 2026 roadmap.
- Optimize system performance and resource utilization to handle massive data throughput.
Qualifications
- 10+ years of experience in software architecture, with at least 5 years specifically focused on AI/ML infrastructure.
- Deep expertise in Python, C++, and modern containerization technologies (Docker, Kubernetes).
- Proven track record of designing distributed systems that scale to millions of users.
- Experience with cloud platforms (AWS, GCP, or Azure) and serverless architectures.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Master's degree in Computer Science, Engineering, or a related field is highly preferred.