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Senior AI Architect: Architecting the 2026 Horizon

Synthetix Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead our Research & Development division focused on the 2026 technological horizon. In this pivotal role, you will bridge the gap between theoretical AI breakthroughs and practical, scalable enterprise solutions. You will be responsible for architecting the next generation of cognitive computing systems that will define our product line for the coming decade.


Why Join Us?
We are a forward-thinking organization dedicated to pushing the boundaries of artificial intelligence. You will have the opportunity to work with cutting-edge technologies, including generative adversarial networks and next-gen quantum integration. If you are passionate about shaping the future of tech, this is your chance to make an impact.

Responsibilities

  • Architect Design: Lead the end-to-end architectural design of high-performance AI models and machine learning pipelines tailored for the 2026 roadmap.
  • Strategic Planning: Define technical strategies and roadmaps to ensure scalability, security, and efficiency in our AI infrastructure.
  • Innovation Leadership: Drive research into emerging AI trends, specifically focusing on large language models (LLMs) and neural-symbolic integration.
  • Team Mentorship: Mentor junior architects and data scientists, fostering a culture of continuous learning and technical excellence.
  • Cross-Functional Collaboration: Partner with product managers, engineers, and stakeholders to translate business requirements into robust technical solutions.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 7+ years of professional experience in AI/ML architecture, with a proven track record of deploying large-scale machine learning systems.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with cloud platforms (AWS, GCP, or Azure).
  • Problem Solving: Deep understanding of distributed systems, data structures, and algorithms.
  • Soft Skills: Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Cloud Architecture Distributed Systems Neural Networks Quantum Computing Agile Methodologies

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