Home Job Details
F
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Shaping the Future (2026)

FutureScale AI
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026?

FutureScale AI is seeking a visionary Senior AI Architect to lead our next-generation autonomous systems division. As we move beyond the era of simple Large Language Models, we are building the infrastructure for Agentic AI and neural-symbiotic interfaces that will define the next decade.

In this pivotal role, you will not just build software; you will architect the future. You will be responsible for designing the core engine that powers our proprietary 2026 roadmap, ensuring our AI agents can operate autonomously in complex, real-world environments.

Why Join Us?
We are a venture-backed startup with a mission to accelerate the singularity. We offer competitive equity, a remote-first culture with a focus on collaboration, and the freedom to experiment with cutting-edge technologies.

Responsibilities

  • Architect and deploy scalable AI solutions aligned with the 2026 product roadmap.
  • Design and optimize deep learning pipelines for high-performance inference in edge environments.
  • Lead the research and implementation of novel architectures, including multimodal models and autonomous agent frameworks.
  • Collaborate with cross-functional teams of engineers, designers, and product managers to translate complex AI concepts into user-centric features.
  • Mentor junior engineers and foster a culture of technical excellence and innovation.
  • Evaluate and integrate emerging technologies to stay ahead of the curve for the 2026 landscape.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of experience in software engineering with a heavy focus on machine learning and deep learning.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Proven track record of shipping large-scale machine learning systems to production.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and MLOps practices.
  • Experience with LLMs, RAG (Retrieval-Augmented Generation), and prompt engineering.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning System Design MLOps AWS GCP LLMs Agentic AI

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All