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Senior AI Architect (2026 Roadmap)

Synapse Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026? Synapse Horizon is seeking a visionary Senior AI Architect to lead our Research and Development initiatives. In this pivotal role, you will not just implement existing algorithms; you will pioneer the architectures that will power the next decade of intelligent systems.

We are looking for a forward-thinking leader who thrives in ambiguity and possesses the technical prowess to build scalable, future-proof AI solutions. Join us in shaping the future of human-machine interaction.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable machine learning pipelines that meet the rigorous demands of the 2026 technological standard.
  • R&D Leadership: Lead the research and development of cutting-edge Artificial General Intelligence (AGI) models, focusing on natural language processing and computer vision.
  • Strategic Roadmap: Define the technical roadmap and long-term strategy for the AI division, ensuring alignment with company goals.
  • Team Mentorship: Mentor a high-performing team of data scientists and engineers, fostering a culture of innovation and continuous learning.
  • Model Optimization: Oversee the deployment, testing, and optimization of large-scale neural networks to ensure real-time performance and accuracy.
  • Cross-Functional Collaboration: Work closely with product managers, engineers, and stakeholders to translate complex technical concepts into actionable business strategies.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 5+ years of professional experience in machine learning engineering, with at least 2 years in a senior architectural or lead role.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, Apache Spark).
  • Algorithm Proficiency: Strong understanding of deep learning architectures, transformers, and reinforcement learning.
  • Leadership: Proven track record of leading diverse teams and managing complex technical projects from conception to deployment.
  • Problem Solving: Exceptional ability to solve complex problems and innovate in fast-paced, evolving environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision Kubernetes Spark Cloud Computing Leadership Agile System Architecture

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