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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

The Opportunity: Nexus Future Systems is pioneering the Project 2026 initiative—a groundbreaking effort to redefine the boundaries of artificial intelligence and quantum computing. We are looking for a visionary Senior AI Architect to lead the technical roadmap and design the neural infrastructures that will power the next generation of enterprise solutions.

In this role, you won't just be building models; you will be architecting the future. You will collaborate with a cross-functional team of futurists, engineers, and product leaders to deliver scalable, robust, and ethical AI systems that stand the test of time.

Why Join Us?

  • Work on a Project 2026 roadmap that is setting industry standards.
  • Competitive compensation package with equity options.
  • Unlimited PTO and a remote-first culture.
  • Access to state-of-the-art computing clusters.

Responsibilities

  • Define and execute the technical architecture for Project 2026 initiatives, ensuring scalability and high performance.
  • Lead the design and deployment of advanced machine learning models, including Generative AI and Large Language Models (LLMs).
  • Collaborate with data scientists and engineers to optimize model training pipelines and reduce inference latency.
  • Establish best practices for MLOps, ensuring reproducibility and monitoring of production models.
  • Guide the team through technical decision-making processes, balancing innovation with risk management.
  • Stay ahead of emerging AI trends to integrate cutting-edge technologies into our core product offerings.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 8+ years of experience in software engineering and machine learning architecture.
  • Proven expertise in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of distributed systems, cloud platforms (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Experience with fine-tuning large models and implementing Retrieval-Augmented Generation (RAG) architectures.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Architecture MLOps AWS Kubernetes Generative AI System Design

Ready to Take This Challenge?

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