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Senior AI Architect (2026 Vision) | San Francisco, CA

NexusCore Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our upcoming generation of autonomous systems. In this role, you will be at the forefront of defining the technological landscape for 2026 and beyond. You will design scalable, ethically responsible, and high-performance AI architectures that power next-gen applications.

At NexusCore, we believe in pushing boundaries. You will work directly with our CTO and a world-class engineering team to integrate cutting-edge Large Language Models (LLMs) with real-time decision-making agents. If you are passionate about the future of artificial intelligence and want to build systems that define the next decade, we want to hear from you.

Responsibilities

  • Architect and implement next-generation AI models and agentic workflows capable of handling complex, multi-modal data streams.
  • Lead the technical vision for integrating Quantum-Ready algorithms into existing cloud infrastructure.
  • Optimize machine learning pipelines for low-latency, high-throughput performance in production environments.
  • Establish best practices for AI safety, bias mitigation, and explainability in autonomous systems.
  • Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
  • Conduct rigorous code reviews and mentor junior engineers in advanced AI methodologies.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5+ years of experience in software engineering, with at least 3 years focused on AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tools (Kubeflow, MLflow).
  • Proven track record of deploying scalable LLMs and Generative AI applications in production.
  • Experience with distributed systems, microservices, and cloud-native technologies (AWS, GCP, or Azure).
  • Strong understanding of data structures, algorithms, and system design principles.

Required Skills

Python PyTorch TensorFlow MLOps AWS GCP Distributed Systems LLMs Machine Learning Architecture Deep Learning

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