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Senior AI Architect (2026 Vision)

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

Job Description

Are you ready to define the technological landscape of 2026?

TechNova Solutions is seeking a visionary Senior AI Architect (2026 Vision) to lead our next-generation artificial intelligence initiatives. In this pivotal role, you won't just be maintaining systems; you will architect the very fabric of our future intelligent infrastructure. We are looking for a leader who thrives on ambiguity and possesses the foresight to build scalable, ethical, and transformative AI solutions for a rapidly evolving digital world.

Join a team of elite engineers and data scientists dedicated to pushing the boundaries of what's possible. You will have the autonomy to design systems that anticipate market needs, integrating cutting-edge machine learning models with robust cloud infrastructure.

Responsibilities

  • Architect and deploy end-to-end AI solutions that align with our 2026 strategic roadmap.
  • Lead the design of scalable neural networks and large language models (LLMs) for enterprise applications.
  • Define and enforce best practices for AI ethics, transparency, and data privacy across all projects.
  • Mentor junior architects and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional product teams to translate complex business requirements into technical blueprints.
  • Evaluate emerging technologies and frameworks to ensure our stack remains at the forefront of the industry.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Proven track record of designing distributed systems capable of handling petabyte-scale data.
  • Strong understanding of MLOps, CI/CD pipelines, and cloud infrastructure (AWS, GCP, or Azure).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Master's degree in Computer Science, Artificial Intelligence, or a related technical field.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Cloud Architecture MLOps AI Ethics AWS GCP

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