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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

2026 Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to define the technological landscape of tomorrow? 2026 Innovations is seeking a visionary Senior AI Architect to lead our next generation of intelligent systems. In this pivotal role, you will design scalable, robust, and ethically sound AI architectures that power our enterprise solutions. You will work at the intersection of data science, software engineering, and strategic product development.

We are looking for a thought leader who not only writes code but shapes the engineering culture. You will mentor a team of talented engineers, collaborate with product leaders, and deploy cutting-edge models to production environments.

Why join 2026 Innovations?

  • Work on groundbreaking projects that push the boundaries of artificial intelligence.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a hub in San Francisco.

Responsibilities

  • Design and implement end-to-end AI/ML pipelines and infrastructure.
  • Lead architectural decisions for large-scale machine learning systems.
  • Ensure data privacy, security, and compliance (GDPR/CCPA).
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Mentor junior developers and conduct rigorous code reviews.
  • Stay abreast of the latest advancements in AI to drive innovation within the team.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Deep understanding of cloud platforms (AWS, GCP, or Azure).
  • Experience with MLOps and model deployment strategies.
  • Strong leadership and communication skills.
  • Master’s degree or PhD in Computer Science, AI, or a related field is preferred.

Required Skills

Python Machine Learning TensorFlow PyTorch AWS Cloud Architecture MLOps Leadership

Ready to Take This Challenge?

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