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Senior AI/ML Architect (2026 Vision)

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future? Nexus Future Technologies is seeking a visionary Senior AI/ML Architect to lead our groundbreaking initiatives for the 2026 vision and beyond. We are not just building software; we are defining the technological landscape of the next decade. Join us in shaping the next generation of intelligent systems.

In this role, you will drive the architectural strategy for our next-gen AI products, ensuring scalability, security, and performance for our 2026 roadmap. You will work at the intersection of research and production, translating cutting-edge research into robust, scalable systems.

Responsibilities

  • Architect 2026 Roadmap: Design and oversee the end-to-end architecture for our AI core systems, specifically tailored for the 2026 technological landscape and scalability requirements.
  • Lead Research Implementation: Translate advanced academic research into production-grade machine learning models and infrastructure.
  • System Optimization: Enhance model inference speeds and optimize training pipelines to support real-time data processing at scale.
  • Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Technical Strategy: Define best practices for data governance, model deployment, and ethical AI usage within the organization.
  • Stakeholder Communication: Collaborate with cross-functional teams (product, engineering, design) to align technical solutions with business goals.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a lead or architect role.
  • Core Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
  • Modeling: Proven track record of developing and deploying large-scale NLP or Computer Vision models.
  • Problem Solving: Exceptional ability to solve complex, unstructured problems with elegant, scalable technical solutions.
  • Future-Ready Mindset: Strong interest in emerging technologies and a clear vision for their application in 2026 and beyond.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Distributed Systems Kubernetes Docker NLP Computer Vision AI Architecture Data Engineering

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