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Senior AI Architect (2026 Specialization)

TechNova Global
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are looking for a visionary Senior AI Architect to spearhead our development of next-generation artificial intelligence systems for the 2026 technology roadmap. At TechNova Global, we are not just predicting the future; we are building it. You will work at the intersection of deep learning, neural networks, and scalable cloud infrastructure to create AI solutions that redefine industry standards.

As a key member of our R&D division, you will lead a team of elite engineers in designing algorithms that power our enterprise clients. If you are passionate about the future of AI and have a track record of delivering high-impact solutions, we want to hear from you.

Responsibilities

  • Architect Scalable AI Systems: Design and deploy robust machine learning models that handle petabyte-scale data streams with zero downtime.
  • Lead R&D Initiatives: Spearhead research into emerging AI technologies, specifically focusing on Generative AI and predictive analytics for 2026.
  • Code Review & Mentorship: Provide technical guidance to junior engineers, ensuring code quality, security, and adherence to best practices.
  • Strategic Planning: Collaborate with C-suite executives to define the technical vision and long-term AI strategy for the company.
  • Performance Optimization: Continuously optimize neural network architectures to improve inference speed and reduce computational costs.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: Minimum of 8+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with cloud platforms like AWS or Azure.
  • Leadership: Demonstrated ability to lead cross-functional teams and manage complex projects from conception to deployment.
  • Innovation: A deep understanding of current AI trends and the ability to apply them to solve real-world business problems.

Required Skills

Python TensorFlow PyTorch AWS Azure Machine Learning Deep Learning Cloud Architecture AI Ethics Project Management

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