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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect

2026 Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Are you ready to architect the intelligence of tomorrow? Join 2026 Innovations, a pioneering firm at the forefront of next-generation artificial intelligence. We are seeking a visionary Lead AI Architect to design scalable, robust, and ethically sound AI systems that will redefine industry standards.

In this pivotal role, you will bridge the gap between theoretical research and production-grade engineering, leading a world-class team of data scientists and engineers to build solutions that matter for the future.

Responsibilities

  • System Architecture: Design and implement scalable distributed AI architectures capable of handling millions of transactions and real-time data processing.
  • R&D Leadership: Lead the research and development of cutting-edge algorithms, including Large Language Models (LLMs) and computer vision systems.
  • Team Mentorship: Mentor senior engineers and data scientists, fostering a culture of innovation, continuous learning, and technical excellence.
  • Stakeholder Management: Translate complex technical concepts into actionable business strategies for executive stakeholders and product managers.
  • Model Optimization: Oversee the training, fine-tuning, and deployment of machine learning models to ensure maximum efficiency and accuracy.
  • Ethical AI: Establish frameworks for responsible AI usage, ensuring compliance with evolving data privacy regulations and ethical standards.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
  • Experience: 7+ years of professional experience in software engineering, with at least 3 years in a senior architecture or lead engineering role.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and Scikit-learn. Strong understanding of MLOps and cloud-native architectures (AWS, GCP, or Azure).
  • AI Specialization: Proven track record of building, deploying, and optimizing complex AI models in production environments.
  • Soft Skills: Exceptional communication skills with the ability to influence cross-functional teams and drive consensus.
  • Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver innovative solutions under tight deadlines.

Required Skills

Python Machine Learning Deep Learning System Architecture Cloud Computing MLOps AWS TensorFlow PyTorch Leadership

Ready to Take This Challenge?

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