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Information Technology 🏢 Full Time ⭐️ Verified

AI Solutions Architect (2026 Roadmap)

FutureScale Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are looking for a visionary AI Solutions Architect to define the technical roadmap for 2026. At FutureScale Inc., we are building the infrastructure of tomorrow, today. If you thrive on solving complex challenges at the intersection of deep learning and cloud scalability, this is your opportunity to lead the charge.

As a key architect, you will not just build models; you will build ecosystems. You will partner with product leaders and data scientists to translate business objectives into robust, scalable AI architectures that will define the standard for the industry in the coming years.

Why join us?

  • Impactful Work: Directly influence the strategic direction of our core AI platforms.
  • Leadership: Mentor a high-performing team of engineers and researchers.
  • Future-Proof: Work on cutting-edge technologies with a clear vision for 2026 and beyond.

Responsibilities

  • Define and execute the technical roadmap for AI infrastructure leading up to and through 2026.
  • Design scalable, fault-tolerant systems that integrate Machine Learning models with cloud-native applications.
  • Lead architectural reviews and ensure best practices in code quality, security, and performance.
  • Collaborate with cross-functional teams to translate business requirements into technical specifications.
  • Identify emerging technologies and evaluate their potential impact on our product roadmap.
  • Drive the adoption of MLOps practices to streamline model deployment and lifecycle management.

Qualifications

  • 10+ years of experience in software engineering and 5+ years specifically in AI/ML architecture.
  • Proven track record of designing large-scale distributed systems (e.g., Kubernetes, Docker, AWS/Azure/GCP).
  • Expert knowledge of deep learning frameworks (TensorFlow, PyTorch) and model optimization techniques.
  • Strong proficiency in Python, C++, or Java.
  • Experience with MLOps, Data Pipelines, and Real-time inference systems.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Cloud Architecture Python TensorFlow System Design Kubernetes AWS MLOps Leadership

Ready to Take This Challenge?

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