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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap

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

Job Description

We are seeking a visionary Senior AI Architect to spearhead the development of our flagship product roadmap for 2026. Nexus Horizon Dynamics is at the forefront of next-generation artificial intelligence, and we need a technical leader who can bridge the gap between theoretical research and scalable production systems. You will be instrumental in defining the architecture for our generative models and autonomous agents.

Why Join Us?

  • Work on cutting-edge projects that define the future of AI.
  • Competitive compensation and equity package.
  • Flexible remote-first policy with premium San Francisco amenities.
  • Opportunity to mentor a team of top-tier engineers.

If you are passionate about building the future and possess deep expertise in machine learning infrastructure, we want to hear from you.

Responsibilities

  • Define and execute the technical architecture for the 2026 AI product roadmap, ensuring scalability and performance.
  • Lead the design of scalable neural network architectures and distributed computing systems.
  • Collaborate with cross-functional teams including researchers, product managers, and data scientists.
  • Optimize existing machine learning pipelines to reduce latency and improve inference speed.
  • Establish best practices for model deployment, monitoring, and ethical AI usage.
  • Conduct code reviews and technical architecture reviews to maintain high engineering standards.
  • Stay abreast of the latest advancements in AI research to integrate cutting-edge techniques.

Qualifications

  • Master’s or Ph.D. in Computer Science, Mathematics, or a related technical field.
  • 8+ years of experience in software engineering, with at least 4 years specializing in AI/ML infrastructure.
  • Deep expertise in Python, C++, and distributed systems.
  • Proven track record of deploying large-scale machine learning models in production environments.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of MLOps and data engineering pipelines.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python C++ TensorFlow PyTorch Docker Kubernetes AWS MLOps Machine Learning Neural Networks System Design Distributed Systems

Ready to Take This Challenge?

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