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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to shape the digital landscape of tomorrow? Nexus Future Labs is seeking a visionary Senior AI Architect to lead our cutting-edge initiatives for the 2026 roadmap. You will be at the forefront of integrating generative AI, predictive analytics, and ethical computing into scalable enterprise solutions. This is not just a job; it's a mission to define the future of technology.

As a key member of our technical elite, you will bridge the gap between theoretical AI breakthroughs and production-grade software engineering. We value deep technical expertise, strategic thinking, and a passion for solving complex problems that have never been solved before.

Responsibilities

  • Architect and deploy robust, scalable AI/ML systems optimized for high-throughput environments.
  • Lead the technical strategy for the 2026 product roadmap, ensuring alignment with business goals and emerging tech trends.
  • Collaborate with cross-functional teams including data scientists, product managers, and security experts to drive innovation.
  • Establish and enforce best practices for code quality, security, and ethical AI usage.
  • Mentor junior engineers and mid-level developers, fostering a culture of continuous learning and excellence.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of experience in software engineering with a focus on machine learning and deep learning frameworks.
  • Expert proficiency in Python, PyTorch, TensorFlow, and cloud infrastructure (AWS/Azure/GCP).
  • Proven track record of leading technical projects from conception to successful production deployment.
  • Strong understanding of large language models (LLMs) and vector databases.

Required Skills

Python TensorFlow AWS Machine Learning System Design Leadership Cloud Computing Generative AI

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