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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Roadmap)

FutureScale Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to define the trajectory of artificial intelligence for the next generation? FutureScale Technologies is seeking a visionary Senior AI Architect to lead our cutting-edge initiatives.

As we look toward 2026 and beyond, we are building the infrastructure for the autonomous digital workforce. In this role, you won't just implement models; you will architect the strategy that integrates LLMs, generative agents, and predictive analytics into enterprise ecosystems. You will be the technical guardian of our AI roadmap, ensuring scalability, security, and innovation.

Why join us? We offer a competitive compensation package, equity opportunities, and the chance to work on projects that will define the future of work.

Responsibilities

  • Define and execute the technical vision for AI infrastructure through 2026.
  • Design and implement scalable machine learning pipelines and MLOps architectures.
  • Lead the integration of Large Language Models (LLMs) into core product suites.
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
  • Mentor junior engineers and data scientists to foster a culture of innovation.
  • Conduct code reviews and ensure best practices for security and data privacy.
  • Stay ahead of industry trends to advise leadership on emerging technologies.

Qualifications

  • 10+ years of experience in Software Engineering, Data Science, or AI.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Proven track record of designing distributed systems and cloud-native architectures (AWS, GCP, or Azure).
  • Experience with MLOps, Data Pipelines, and model versioning tools.
  • Strong understanding of Generative AI, NLP, and Computer Vision.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Mathematics, or a related field is preferred.

Required Skills

Python Machine Learning MLOps AWS GCP TensorFlow PyTorch Architecture AI Strategy

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