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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Solutions Architect - 2026 Initiatives

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

Job Description

Are you ready to build the future today? At FutureForge Tech, we are looking for a visionary Lead AI Solutions Architect (2026 Initiatives) to spearhead our next-generation technology roadmap. As we approach 2026, we are expanding our capabilities in artificial intelligence, quantum-safe security, and autonomous systems.

This is a unique opportunity to step into a high-impact leadership role and architect solutions that will define the next era of enterprise computing. Based in the heart of San Francisco, you will work alongside world-class engineers, data scientists, and product visionaries. If you are passionate about turning cutting-edge research into scalable, real-world applications, we want you on our team.

Responsibilities

  • Architect and design scalable, future-proof AI systems targeting our 2026 enterprise product roadmap.
  • Lead cross-functional teams of data scientists, software engineers, and product managers to deliver complex AI solutions.
  • Evaluate and integrate emerging technologies (e.g., advanced LLMs, edge AI, quantum-resistant cryptography) into our core infrastructure.
  • Establish best practices for AI model deployment, monitoring, and lifecycle management.
  • Collaborate with executive stakeholders to align technical strategies with overarching business goals for the 2026 launch.
  • Drive technical excellence and mentor senior engineering staff in modern architectural patterns.

Qualifications

  • 8+ years of experience in software architecture, with at least 3 years focused on AI/ML systems.
  • Proven track record of designing and deploying large-scale, distributed cloud architectures (AWS, GCP, or Azure).
  • Deep understanding of modern AI frameworks (TensorFlow, PyTorch) and MLOps principles.
  • Strong programming background in Python, Go, or C++.
  • Exceptional leadership and communication skills, with the ability to translate complex technical concepts to non-technical audiences.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

Required Skills

AI Architecture Strategic Planning Cloud Computing Machine Learning Python MLOps Distributed Systems

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