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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

2026
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

At 2026, we are not just predicting the future; we are building it. We are a cutting-edge think-tank and technology firm dedicated to solving humanity's most complex challenges through advanced artificial intelligence and sustainable infrastructure. We are seeking a visionary Senior AI Architect to lead our technical roadmap and design the core algorithms that will define the technological landscape of the coming decade.


Why join 2026?
We offer a unique opportunity to work on high-impact projects that transcend the ordinary. You will have the autonomy to experiment, the resources to innovate, and the backing of a mission-driven organization.

Responsibilities

  • Design and implement scalable, high-performance AI architectures capable of processing petabytes of data in real-time.
  • Lead the technical vision for the development of autonomous agents and generative models.
  • Mentor and guide a team of junior engineers and data scientists, fostering a culture of excellence and continuous learning.
  • Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
  • Conduct code reviews, architecture assessments, and performance tuning to ensure system stability.
  • Stay at the forefront of industry trends, researching and integrating emerging technologies such as Quantum Computing interfaces and Neural Interfaces.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, GCP, or Azure).
  • Proven track record of leading large-scale distributed systems and machine learning pipelines.
  • Strong background in NLP, Computer Vision, or Reinforcement Learning.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Data Science, or a related field is preferred.

Required Skills

Python Machine Learning TensorFlow PyTorch AWS Cloud Architecture System Design NLP Kubernetes Docker

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