Job Description
Nexus Future Systems is defining the next era of artificial intelligence. As we accelerate toward the pivotal year of 2026, we are seeking a visionary Senior AI Architect to lead the engineering of our core infrastructure. You will be responsible for designing scalable, high-performance systems that bridge the gap between theoretical research and production-grade AI deployment.
This is a unique opportunity to shape the roadmap that will define how AI operates in a global, decentralized environment. If you are passionate about building the backbone of the future, we want to hear from you.
Why Join Us?
- Work on cutting-edge Generative AI and Large Language Model (LLM) infrastructures.
- Competitive salary and equity packages.
- Flexible remote-first culture with a premium office in San Francisco.
Responsibilities
- Architect end-to-end AI pipelines, from data ingestion to model deployment and serving.
- Lead the technical strategy for "2026 Readiness," ensuring systems can handle exponential scaling.
- Optimize deep learning models for latency, throughput, and energy efficiency.
- Establish and enforce architectural standards for security, compliance, and scalability.
- Collaborate with cross-functional teams of data scientists, researchers, and product managers.
- Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Expert proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools (MLflow, Kubeflow).
- Deep experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong understanding of distributed systems, microservices, and high-availability architectures.
- Experience with Vector Databases and RAG (Retrieval-Augmented Generation) architectures.