Job Description
The Future is Now. Nexus 2026 is at the forefront of pioneering the technological landscape for the upcoming decade. We are not just building software; we are engineering the foundation for the year 2026 and beyond. As a Senior AI Architect, you will lead the design and implementation of next-generation autonomous systems, focusing on Agentic AI, Large Language Models (LLMs), and predictive intelligence.
We are looking for a visionary engineer who thrives on solving complex problems and has a deep understanding of the trajectory of AI development. If you want to shape the infrastructure that powers the world in 2026, this is your opportunity.
Why Join Nexus 2026?
- Work on cutting-edge Agentic AI frameworks.
- Competitive compensation and equity packages.
- Flexible remote and hybrid work options in San Francisco.
- Access to the latest hardware and research tools.
Key Responsibilities:
- Architect and design scalable, high-performance AI systems designed for the 2026 tech stack.
- Lead the development of autonomous agents and LLM orchestration pipelines.
- Collaborate with cross-functional teams to integrate AI solutions into core products.
- Mentor junior engineers and establish best practices for AI security and ethics.
- Research and evaluate emerging technologies to keep our stack ahead of the curve.
Qualifications:
- 10+ years of experience in software engineering and machine learning.
- Proven track record of designing systems at scale (Petabyte scale data handling).
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of NLP, Transformer models, and RAG architectures.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong grasp of AI governance, bias mitigation, and responsible AI principles.
Nexus 2026 is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Responsibilities
- Architect scalable, high-performance AI systems designed for the 2026 tech stack.
- Lead the development of autonomous agents and LLM orchestration pipelines.
- Collaborate with cross-functional teams to integrate AI solutions into core products.
- Mentor junior engineers and establish best practices for AI security and ethics.
- Research and evaluate emerging technologies to keep our stack ahead of the curve.
Qualifications
- 10+ years of experience in software engineering and machine learning.
- Proven track record of designing systems at scale (Petabyte scale data handling).
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of NLP, Transformer models, and RAG architectures.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong grasp of AI governance, bias mitigation, and responsible AI principles.