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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Project 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are building the infrastructure for the future. Nexus Future Labs is seeking a visionary Senior AI Architect to lead our revolutionary Project 2026. This initiative represents the next leap in autonomous intelligence, and we need a technical leader to architect the systems that will define the decade ahead.

In this role, you will be at the forefront of Generative AI, Quantum Integration, and next-generation predictive modeling. You will not just write code; you will design the neural architectures that power our global ecosystem.

Why join us? We offer competitive equity, a remote-first culture, and the chance to work on technology that will be adopted by millions by the end of the decade.

Responsibilities

  • Lead the architectural design for Project 2026, ensuring high scalability, security, and fault tolerance.
  • Develop and optimize state-of-the-art Large Language Models (LLMs) and multimodal AI systems.
  • Architect seamless integration of AI solutions into legacy and modern cloud infrastructure.
  • Provide technical mentorship to a team of senior engineers and data scientists.
  • Define technical standards and best practices for the AI research and development team.
  • Collaborate with cross-functional stakeholders to define product roadmaps for 2026.
  • Conduct research on emerging technologies to stay ahead of the curve.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • Minimum of 8 years of experience in AI engineering, Machine Learning, or Software Architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Deep experience with LLMs, fine-tuning, and RAG (Retrieval-Augmented Generation).
  • Strong background in distributed systems and cloud computing (AWS, GCP, or Azure).
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Proven track record of leading high-performance engineering teams.

Required Skills

Python TensorFlow PyTorch AWS GCP Docker Kubernetes Machine Learning AI Architecture System Design LLMs NLP

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