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Information Technology 🏢 Full Time ⭐️ Verified

Strategic AI Architect: The 2026 Initiative

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

We are on the cusp of a technological renaissance. Nexus Future Labs is seeking a visionary Strategic AI Architect to lead our 2026 Horizon Initiative. In this pivotal role, you will not just write code; you will architect the fundamental logic of tomorrow’s autonomous systems and generative intelligence networks. You will bridge the gap between theoretical AI research and scalable production environments, ensuring our solutions remain at the forefront of the industry.

Join a team of elite engineers and data scientists dedicated to solving humanity's most complex challenges through advanced artificial intelligence.

Responsibilities

  • Design and implement scalable, fault-tolerant AI architectures for next-generation applications.
  • Lead the research and integration of cutting-edge Machine Learning models, specifically focusing on Generative AI and Reinforcement Learning for the 2026 roadmap.
  • Define technical standards and best practices for AI development, ensuring code quality, security, and ethical AI compliance.
  • Collaborate with cross-functional teams including product managers, data scientists, and security experts to translate business goals into technical blueprints.
  • Oversee the deployment of AI models into production environments, optimizing for performance and latency.
  • Mentor junior architects and engineers, fostering a culture of continuous learning and innovation.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • 10+ years of experience in software engineering with a strong focus on Artificial Intelligence and Machine Learning.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern Cloud architectures (AWS, GCP, or Azure).
  • Proven track record of leading complex technical projects from concept to deployment.
  • Experience with Large Language Models (LLMs), Natural Language Processing (NLP), and Computer Vision.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Demonstrated leadership experience in managing engineering teams.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Cloud Architecture AWS GCP System Design Leadership

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