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Senior AI Architect (2026 Roadmap)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the technology of tomorrow? Nexus Future Systems is pioneering the next generation of autonomous intelligence. We are seeking a visionary Senior AI Architect to lead our 2026 roadmap initiatives, focusing on scalable LLMs, generative agents, and predictive neural networks.

In this role, you won't just implement existing models; you will define the architectural frameworks that will power our enterprise solutions for the coming decade. Join a team of elite engineers and researchers dedicated to pushing the boundaries of artificial intelligence.

Why join us?

  • Competitive salary and equity package.
  • Flexible remote-first policy with a high-performance office culture.
  • Access to the latest hardware and cutting-edge research.

Responsibilities

  • Design and implement scalable, distributed AI architectures capable of handling petabyte-scale data streams.
  • Lead the research and integration of cutting-edge Large Language Models (LLMs) and Generative AI agents.
  • Optimize model inference latency and cost-efficiency for production environments.
  • Establish best practices for MLOps, model versioning, and continuous deployment pipelines.
  • Mentor junior data scientists and engineers, fostering a culture of technical excellence and innovation.
  • Collaborate cross-functionally with product and engineering teams to translate business requirements into technical AI solutions.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Minimum of 7 years of experience in software engineering, machine learning, or data science.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern machine learning libraries.
  • Strong background in distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of deploying production-grade AI models at scale.
  • Exceptional problem-solving skills and ability to thrive in a fast-paced, ambiguous startup environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs MLOps AWS Kubernetes Docker Distributed Systems SQL Data Structures

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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