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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Roadmap

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead the technological infrastructure required for our 2026 global expansion. At Nexus Future Systems, we are building the future of autonomous decision-making, and your work will define the core capabilities of our platform for the next decade.

In this pivotal role, you will bridge the gap between theoretical research and practical application, ensuring our systems are scalable, secure, and ready for the high-volume demands of the upcoming year. You will lead a team of elite engineers and data scientists, establishing best practices for a roadmap that defines our market leadership by 2026.

Why Join Us?

  • Work on cutting-edge Large Language Models (LLMs) and generative AI frameworks.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first culture with headquarters in San Francisco.

Responsibilities

  • Design and architect scalable machine learning pipelines specifically engineered to handle the projected data loads of 2026.
  • Lead the technical strategy for integrating emerging AI technologies into our core product suite.
  • Collaborate with product managers to translate '2026 vision' into technical specifications and architectural blueprints.
  • Mentor junior architects and data scientists, fostering a culture of innovation and continuous learning.
  • Ensure data security, compliance, and ethical AI practices across all 2026 initiatives.
  • Optimize model performance and reduce inference latency for real-time applications.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Proven track record of delivering complex AI projects from concept to production.
  • Strong understanding of MLOps, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AI Strategy System Design MLOps Cloud Computing AWS Docker Kubernetes

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