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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are on a mission to define the technological landscape of 2026 and beyond. Nexus Future Systems is seeking a visionary Senior AI Architect to lead our research and development efforts in autonomous systems and generative AI. You will be at the forefront of innovation, designing scalable architectures that solve complex global challenges.

In this role, you will bridge the gap between theoretical AI research and practical engineering, ensuring our products remain at the bleeding edge of technology. If you are passionate about shaping the future and have a track record of delivering high-impact AI solutions, we want to hear from you.

Responsibilities

  • Lead Strategic Architecture: Design and implement scalable, robust AI systems that align with the company's 2026 long-term roadmap.
  • Research & Development: Stay ahead of industry trends, exploring emerging technologies like Large Language Models (LLMs) and reinforcement learning.
  • Technical Mentorship: Mentor a team of brilliant engineers, fostering a culture of technical excellence and continuous learning.
  • Cross-Functional Collaboration: Work closely with product managers, data scientists, and designers to translate complex AI concepts into user-friendly features.
  • Production Optimization: Oversee the deployment of AI models, ensuring high performance, latency reduction, and real-time processing capabilities.
  • Compliance & Ethics: Establish guidelines for ethical AI usage, ensuring fairness, transparency, and data privacy in all deployed models.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 10+ years of experience in software engineering with a strong focus on Machine Learning and Deep Learning.
  • Technical Skills: Expert proficiency in Python, TensorFlow, PyTorch, and SQL.
  • Cloud Mastery: Proven experience architecting solutions on AWS, GCP, or Azure.
  • System Design: Deep understanding of distributed systems, microservices, and containerization (Kubernetes/Docker).
  • Communication: Exceptional ability to articulate complex technical strategies to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture TensorFlow PyTorch AWS System Design Leadership

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