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Senior AI Architect: Shaping the 2026 Horizon

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

Job Description

We are seeking a visionary Senior AI Architect to lead the technical strategy for our 2026 roadmap. At Nexus Core, we are not just building software; we are architecting the future of intelligent systems. You will define the core infrastructure that will power the next generation of autonomous agents and generative AI models.

In this high-impact role, you will bridge the gap between theoretical research and scalable production engineering. You will work closely with C-level executives and research leads to translate long-term visions into executable technical roadmaps.

Why join us?

  • Work on cutting-edge technology that defines the industry for the next decade.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with premium benefits.
  • Opportunity to shape the 2026 technological landscape.

Responsibilities

  • Lead the architectural design and implementation of AI systems intended for deployment in the 2026 timeframe.
  • Define the long-term technical roadmap and evaluate emerging technologies (e.g., AGI, Quantum ML) for viability.
  • Oversee the scalability, security, and performance of our machine learning infrastructure.
  • Mentor a team of senior engineers and data scientists to foster a culture of innovation.
  • Collaborate with product managers to translate business goals into technical specifications.
  • Establish best practices for model deployment and MLOps pipelines.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • Minimum of 7 years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of leading large-scale technical projects from conception to delivery.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Kubernetes/Docker).
  • Experience with AI governance, ethics, and responsible AI practices.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch System Architecture MLOps Cloud Computing Leadership 2026 Roadmap Generative AI

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