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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Generative Systems

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

Job Description

Are you ready to define the technological landscape of 2026? Apex Innovations is seeking a visionary Senior AI Architect to spearhead our next-generation Generative AI initiatives. You will be responsible for designing scalable, high-performance neural architectures that push the boundaries of what is possible in artificial intelligence.

Key Highlights:

  • Lead the architectural design of state-of-the-art Large Language Models (LLMs).
  • Drive innovation in deep learning and reinforcement learning frameworks.
  • Work with a world-class team of data scientists and engineers.
  • Competitive compensation and equity opportunities.

If you are passionate about the future of technology and want to build systems that matter, we want to hear from you.

Responsibilities

  • Design and implement robust AI architectures for generative models, ensuring high accuracy and low latency.
  • Optimize existing models for production environments, focusing on resource efficiency and scalability.
  • Conduct research into emerging AI methodologies and evaluate their applicability to our product suite.
  • Collaborate with product managers and engineering teams to translate complex requirements into technical solutions.
  • Mentor and guide junior engineers and data scientists, fostering a culture of technical excellence.
  • Ensure ethical AI practices and compliance with industry standards.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum of 5 years of experience in AI/ML engineering, with at least 2 years in a senior or architect role.
  • Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Strong understanding of deep learning algorithms, neural networks, and natural language processing.
  • Proven track record of deploying large-scale machine learning models to production.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

Required Skills

Python TensorFlow PyTorch Deep Learning Machine Learning LLMs NLP AWS GCP System Design Kubernetes

Ready to Take This Challenge?

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