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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Horizon)

FutureCore Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to define the technological landscape of 2026 and beyond. At FutureCore Dynamics, we are building the neural infrastructure that powers the next generation of human-machine interaction. You will be responsible for designing scalable, secure, and high-performance AI systems that push the boundaries of what is currently possible.

In this role, you will bridge the gap between cutting-edge research and production-grade deployment. You will lead a team of brilliant engineers in optimizing neural networks for real-time processing and integrating quantum-ready algorithms into our core platforms.

Why join us?

  • Work on projects that shape the future of global connectivity.
  • Competitive equity package and top-tier benefits.
  • Access to state-of-the-art labs and computing resources.

Responsibilities

  • Design and architect scalable AI infrastructure capable of processing petabytes of data in real-time.
  • Lead the research and implementation of next-generation Large Language Models (LLMs) and generative AI frameworks.
  • Optimize model latency and throughput for edge computing environments.
  • Collaborate with cross-functional teams to integrate AI solutions into consumer and enterprise products.
  • Mentor junior engineers and establish best practices for AI model training, validation, and deployment.
  • Stay ahead of industry trends, specifically regarding quantum computing integration and neuromorphic hardware.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 8+ years of experience in software engineering, with at least 5 years focused on machine learning and artificial intelligence.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying production-grade AI models at scale.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Distributed Systems AWS Kubernetes Docker Cloud Architecture Neural Networks

Ready to Take This Challenge?

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