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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Platform Architect

FutureForge Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Are you ready to build the future? At FutureForge Technologies, we are looking ahead to the next frontier of artificial intelligence. We are seeking a visionary 2026 AI Platform Architect to join our elite engineering team in San Francisco. In this role, you will be the driving force behind our 2026 strategic technology roadmap, designing bleeding-edge AI infrastructure that will power next-generation enterprise solutions.

If you are passionate about pushing the boundaries of machine learning, large language models (LLMs), and scalable cloud architecture, this is your opportunity to leave a lasting mark on the tech industry. Join us and architect the platforms that will define tomorrow.

Responsibilities

  • Lead the end-to-end architectural design and deployment of our 2026 AI infrastructure roadmap.
  • Collaborate with executive leadership to align technical strategies with future business objectives.
  • Design highly scalable, secure, and resilient cloud-native environments optimized for advanced machine learning workloads.
  • Evaluate and integrate emerging technologies, frameworks, and LLM capabilities to maintain our competitive edge.
  • Establish best practices for MLOps, CI/CD pipelines, and automated testing for AI models.
  • Mentor and guide engineering teams on complex architectural patterns and future-proof development standards.
  • Oversee data governance, privacy, and compliance protocols for all new AI initiatives.

Qualifications

  • 8+ years of experience in software architecture, cloud engineering, or machine learning infrastructure.
  • Proven track record of designing and launching large-scale, distributed AI or cloud platforms.
  • Deep expertise in modern AI/ML frameworks (TensorFlow, PyTorch) and LLM orchestration tools.
  • Advanced proficiency with major cloud providers (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong programming skills in Python, Go, or similar modern languages.
  • Exceptional problem-solving abilities and a forward-thinking mindset geared toward 2026 technological trends.
  • Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.

Required Skills

AI Architecture Cloud Infrastructure Python Kubernetes MLOps LLM Deployment Strategic Roadmapping AWS

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