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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Systems

2026 Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future of intelligent systems? 2026 Systems is pioneering the next generation of generative AI and predictive analytics. We are seeking a world-class Senior AI Architect to lead our engineering efforts and drive innovation across our product suite.

We believe in a culture of autonomy, continuous learning, and high impact. As an AI Architect, you will define the technical roadmap for our machine learning infrastructure, ensuring scalability, security, and performance at the enterprise level.

Why join us?

  • Work with cutting-edge LLMs and neural networks.
  • Competitive equity and stock options.
  • Flexible remote-first culture.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and neural network architectures.
  • Lead architectural decisions for data pipelines, model training, and inference services.
  • Mentor and guide junior engineers and data scientists within the AI team.
  • Collaborate with product managers and stakeholders to translate business requirements into technical solutions.
  • Optimize existing models for latency, throughput, and cost-efficiency.
  • Ensure compliance with data privacy regulations and ethical AI standards.

Qualifications

  • 8+ years of experience in software engineering, with at least 4 years specifically in Machine Learning and AI.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • M.S. or Ph.D. in Computer Science, Mathematics, or a related field is preferred.
  • Deep understanding of distributed systems, big data technologies (Spark, Kafka), and MLOps practices.
  • Excellent communication skills and the ability to present complex technical concepts to non-technical audiences.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Computing Docker Kubernetes MLOps AWS GCP

Ready to Take This Challenge?

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