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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 195.000 – USD 275.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the intelligent systems of tomorrow? Nexus Future Labs is seeking a visionary Senior AI Architect to lead our next-generation initiatives. As we prepare for the technological landscape of 2026, you will be at the forefront of defining how AI integrates into enterprise ecosystems.

In this role, you won't just write code; you will define the architectural blueprints for the future. We are looking for a thought leader who understands the nuances of Generative AI, Large Language Models (LLMs), and scalable machine learning infrastructure. Join us in building the next evolution of human-machine interaction.

Responsibilities

  • Architect End-to-End AI Solutions: Design and implement robust, scalable machine learning pipelines and architectures designed for the 2026 enterprise standard.
  • Lead Innovation Strategy: Identify emerging trends in AI and quantum-readiness to drive product roadmaps and technological innovation.
  • Model Optimization: Oversee the training, fine-tuning, and deployment of state-of-the-art Large Language Models (LLMs) to ensure optimal performance and reduced latency.
  • Mentorship & Culture: Cultivate a high-performance engineering culture by mentoring junior data scientists and architects, fostering a collaborative environment.
  • Security & Compliance: Ensure all AI systems adhere to strict data privacy regulations and ethical AI guidelines.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of professional experience in software engineering, with at least 3 years focused specifically on AI/ML architecture.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Experience with cloud platforms (AWS/GCP/Azure) is mandatory.
  • Domain Knowledge: Demonstrated experience with Generative AI, NLP, or Computer Vision technologies.
  • Leadership: Proven track record of leading cross-functional teams and delivering complex technical projects on time.

Required Skills

Python TensorFlow PyTorch AWS GCP MLOps Generative AI Large Language Models System Architecture Deep Learning Kubernetes

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