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Senior AI Architect (Project 2026)

Apex Dynamics
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Shape the Future of Intelligence with Apex Dynamics

We are seeking a visionary Senior AI Architect to lead the development of our proprietary technologies for Project 2026. As a leader in the tech space, we are building the next generation of autonomous systems and predictive intelligence. This is a high-impact role requiring a blend of deep technical expertise and strategic leadership.

In this position, you will be responsible for defining the architectural blueprint of our AI ecosystem, ensuring scalability, security, and ethical alignment. You will work in a fast-paced, collaborative environment where your code will directly influence the trajectory of our products for years to come.

Responsibilities

  • Design and implement scalable, high-performance AI infrastructure for Project 2026.
  • Lead the research and development of advanced machine learning models, including Generative AI and Large Language Models.
  • Collaborate with cross-functional teams to integrate AI solutions into core products seamlessly.
  • Mentor and guide a team of junior engineers and data scientists, fostering a culture of continuous learning.
  • Establish best practices for data governance, model deployment, and monitoring (MLOps).
  • Conduct rigorous performance testing and optimization to ensure real-time latency requirements are met.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 8+ years of experience in software engineering, with at least 4 years focused on AI/ML architecture.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven experience designing distributed systems and cloud-native AI solutions (AWS, GCP, or Azure).
  • Strong background in Natural Language Processing (NLP) and Deep Learning architectures.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AWS GCP MLOps System Design

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