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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

FutureCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027



Job Description

We are FutureCore Systems, a premier engineering firm dedicated to defining the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our next-generation Neural Network research division. If you are passionate about building the intelligent systems that will power the future, we want to hear from you.

In this pivotal role, you will not just implement existing models; you will architect the foundational algorithms that will define the industry standard for the year 2026. You will work in a highly collaborative, high-performance environment that values innovation, speed, and ethical AI development.

Responsibilities

  • Lead Architectural Design: Design and implement scalable, robust AI architectures for large-scale generative models and autonomous systems.
  • R&D Leadership: Drive research initiatives in Deep Learning, NLP, and Computer Vision to stay ahead of the 2026 tech curve.
  • Model Optimization: Optimize existing models for inference speed, accuracy, and resource efficiency on cloud-native infrastructure.
  • Team Mentorship: Mentor a team of junior data scientists and ML engineers, fostering a culture of continuous learning and technical excellence.
  • Product Integration: Collaborate closely with product and engineering teams to integrate AI capabilities into consumer-facing platforms.
  • Ethical AI Compliance: Ensure all models adhere to strict ethical guidelines and bias mitigation protocols.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 5+ years of professional experience in designing and deploying production-grade machine learning systems.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Frameworks: Strong understanding of distributed computing (e.g., Apache Spark, Kubernetes) and MLOps pipelines.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative technical solutions.
  • Communication: Excellent verbal and written communication skills for technical stakeholder management.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Computing MLOps Kubernetes Data Structures Algorithms

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