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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Solutions Architect

FutureForge Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Are you ready to shape the future of artificial intelligence? At FutureForge Technologies, we are looking for a visionary 2026 AI Solutions Architect to lead our next-generation AI initiatives. You will design scalable, cutting-edge AI infrastructure that powers our 2026 product roadmap. If you are passionate about pushing the boundaries of machine learning and cloud computing, join our elite team in San Francisco and build the technology of tomorrow, today.

Responsibilities

  • Architect and deploy next-generation AI and machine learning models targeting 2026 enterprise standards.
  • Collaborate with cross-functional teams to seamlessly integrate AI solutions into core product offerings.
  • Lead the strategic migration of legacy systems to advanced, AI-ready cloud infrastructure.
  • Establish and enforce best practices for MLOps, data governance, and AI ethics.
  • Provide technical leadership and mentorship to a team of elite data scientists and engineers.
  • Evaluate emerging technologies and frameworks to maintain our competitive edge in the rapidly evolving AI space.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of experience designing and implementing large-scale, production-ready AI/ML solutions.
  • Deep expertise in modern cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proficiency in Python, TensorFlow, PyTorch, and modern MLOps toolchains.
  • Strong understanding of large language models (LLMs), neural networks, and generative AI frameworks.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

AI Architecture Machine Learning Python MLOps Cloud Computing Generative AI Kubernetes Technical Leadership

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