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Senior AI Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to build the infrastructure for the next decade? Nexus Future Labs is looking for a visionary Senior AI Architect (2026 Vision) to lead our breakthrough research in Agentic AI and Neuromorphic Computing. As we prepare to redefine the boundaries of artificial intelligence, you will be at the forefront of developing systems that are not only intelligent but also sustainable and scalable.

We are seeking a thought leader who can bridge the gap between theoretical neural architectures and real-world deployment. In this role, you will architect the core engines of our 2026 roadmap, ensuring our AI solutions are ethical, efficient, and infinitely adaptable.

Responsibilities

  • Architect the Future: Design and implement scalable AI infrastructure for next-generation neural networks and autonomous agents.
  • R&D Leadership: Lead a team of top-tier researchers and engineers in pushing the boundaries of Generative AI and Edge Computing.
  • Strategic Roadmap: Define technical strategies that align with our 2026 vision, focusing on low-latency inference and energy-efficient models.
  • Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex AI concepts into deployable products.
  • Code Review & Mentorship: Establish rigorous coding standards and mentor junior architects to foster a culture of innovation.

Qualifications

  • Expertise: 8+ years of experience in software engineering, with at least 4 years in designing large-scale AI systems.
  • Education: Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
  • 2026 Readiness: Demonstrated experience with LLMs, RAG (Retrieval-Augmented Generation), and ethical AI frameworks.
  • Problem Solving: Ability to tackle complex optimization problems in real-time environments.

Required Skills

Python PyTorch TensorFlow Machine Learning AI Architecture Cloud Computing Kubernetes Neural Networks Generative AI RAG Edge Computing

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