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Senior AI Architect (2026 Vision) - San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the development of next-generation intelligent systems. As we prepare to define the technological landscape for the year 2026, you will be at the forefront of integrating cutting-edge machine learning models with scalable cloud infrastructure. You will not just write code; you will architect the future of automated decision-making and cognitive computing.

Join a team of elite engineers and data scientists committed to pushing the boundaries of what is possible in artificial intelligence.

Responsibilities

  • Design and implement robust, scalable AI architectures for enterprise-level applications targeting the 2026 market landscape.
  • Lead the end-to-end development of machine learning pipelines, from data ingestion to model deployment and monitoring.
  • Collaborate with cross-functional teams of product managers, designers, and engineers to translate complex business requirements into technical solutions.
  • Optimize existing models for speed, accuracy, and resource efficiency using advanced optimization techniques.
  • Stay abreast of the latest advancements in AI research (e.g., Transformer models, reinforcement learning) and integrate them into our product roadmap.
  • Mentor junior engineers and conduct code reviews to ensure high standards of quality and best practices.
  • Define data governance policies and ensure compliance with ethical AI standards and regulations.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 8+ years of experience in software engineering, with at least 4 years specializing in AI/ML architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying large-scale machine learning models into production environments.
  • Deep understanding of neural network architectures, NLP, and computer vision.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, dynamic startup environment.

Required Skills

Python TensorFlow PyTorch AWS GCP Docker Kubernetes Machine Learning Deep Learning NLP Computer Vision Cloud Architecture SQL Agile Scrum

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