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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Solutions Architect (2026 Vision)

FutureForge Tech
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 today? FutureForge Tech is seeking a visionary Lead AI Solutions Architect (2026 Vision) to spearhead our next-generation technology initiatives. In this pivotal role, you will not just adapt to the future; you will define it. We are looking for a trailblazer to architect AI systems that will power our enterprise capabilities through 2026 and beyond.

Based in the heart of San Francisco, you will collaborate with elite engineering teams to translate futuristic concepts into scalable, robust, and high-performing AI realities. If you are passionate about pushing boundaries and crafting the 2026 tech landscape, we want you on our team.

Responsibilities

  • Design and deploy advanced AI and machine learning architectures aligned with our 2026 strategic roadmap.
  • Lead and mentor a high-performing team of data scientists and software engineers.
  • Evaluate emerging technologies and integrate cutting-edge LLMs and generative AI models into existing platforms.
  • Collaborate with executive leadership to forecast technological trends and align engineering deliverables with business goals.
  • Ensure all AI solutions are scalable, secure, and optimized for enterprise-level performance.
  • Establish best practices for AI governance, ethics, and responsible AI deployment.
  • Oversee the full software development lifecycle from conceptualization to deployment and continuous improvement.

Qualifications

  • Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 8 years of experience in software engineering, with at least 3 years dedicated to AI/ML architecture.
  • Deep expertise in modern AI frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, GCP, or Azure).
  • Proven track record of successfully scaling machine learning models in production environments.
  • Strong understanding of Large Language Models (LLMs), generative AI, and prompt engineering.
  • Exceptional leadership and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Experience living on the bleeding edge of tech and a genuine excitement for what the 2026 landscape holds.

Required Skills

AI Architecture Machine Learning Python Strategic Planning Cloud Infrastructure LLM Integration Generative AI

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