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Senior AI Architect - Project 2026

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Shape the Future of Technology with Project 2026

We are seeking a visionary Senior AI Architect to lead the strategic development of our flagship initiative, Project 2026. This is a rare opportunity to work at the intersection of advanced machine learning, edge computing, and predictive analytics. You will be responsible for designing the architectural frameworks that will power the next generation of autonomous systems.

At Apex Horizon, we don't just predict the future; we engineer it. If you are a technical leader passionate about pushing the boundaries of AI scalability and ethics, we want to hear from you.

Responsibilities

  • Architect Next-Gen Systems: Design and implement robust AI architectures for Project 2026, focusing on large-scale data processing and real-time inference.
  • Research & Development: Spearhead research initiatives in Generative AI and Reinforcement Learning to stay ahead of the 2026 technological curve.
  • Team Leadership: Mentor a team of junior data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Model Optimization: Continuously optimize model performance, reducing latency and improving accuracy for edge deployment.
  • Strategic Planning: Collaborate with cross-functional stakeholders to define technical roadmaps and deliverables for long-term projects.
  • Compliance & Ethics: Ensure all AI systems adhere to industry standards and ethical guidelines regarding bias and transparency.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of professional experience in AI/ML engineering, with at least 3 years in a senior or lead architect role.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Apache Spark).
  • System Design: Deep understanding of system architecture, cloud infrastructure (AWS/Azure/GCP), and MLOps practices.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in high-pressure environments.
  • Communication: Excellent verbal and written communication skills, with the ability to translate technical concepts for non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning System Design MLOps Kubernetes AWS Leadership

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