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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
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are at the forefront of defining the technological landscape for 2026 and beyond. Nexus Future Labs is seeking a visionary Senior AI Architect (2026 Specialization) to lead our research and development in generative AI, autonomous agents, and next-generation machine learning systems.

In this role, you will bridge the gap between theoretical AI advancements and scalable production systems. You will be instrumental in designing the core architecture that powers our predictive tools, ensuring they are robust, secure, and future-proof for the enterprise of 2026.

Why Join Us?

  • Work on cutting-edge 2026-ready technologies.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Design and implement scalable AI architectures for large-scale LLMs and generative models.
  • Lead the migration of legacy systems to modern, 2026-compliant neural network frameworks.
  • Oversee the full MLOps lifecycle, including model training, validation, and deployment pipelines.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
  • Establish best practices for AI ethics, transparency, and bias mitigation in algorithmic design.
  • Conduct research to identify emerging trends in artificial intelligence relevant to the 2026 roadmap.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern deep learning libraries.
  • Proven experience designing microservices and distributed systems handling high concurrency.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Experience with prompt engineering and fine-tuning Large Language Models (LLMs).
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning MLOps Large Language Models Deep Learning Distributed Systems Cloud Architecture Kubernetes AWS GCP AI Ethics

Ready to Take This Challenge?

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