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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Architect (2026 Vision)

Apex Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence

Apex Future Tech is seeking a visionary Senior AI/ML Architect (2026 Vision) to lead our next-generation AI initiatives. As we look toward the technological landscape of 2026, you will define the core architecture for scalable, secure, and ethical AI systems that power our global platforms.

About the Role

You will be at the forefront of Generative AI, Large Language Models (LLMs), and autonomous agents. We are not just building today's tools; we are engineering the infrastructure for the future. If you are passionate about solving complex problems and defining the roadmap for AI adoption in enterprise environments, this is your opportunity to make a lasting impact.

Why You'll Love It Here

  • Work with cutting-edge technology in a state-of-the-art facility.
  • Competitive compensation and equity packages.
  • Flexible remote-first hybrid policy.
  • Opportunity to mentor a team of world-class engineers.

Responsibilities

  • Design and deploy scalable AI/ML architectures for next-generation applications.
  • Lead the optimization and fine-tuning of models to meet 2026 performance benchmarks.
  • Architect robust MLOps pipelines for continuous training, deployment, and monitoring.
  • Collaborate with product and engineering teams to integrate AI capabilities seamlessly.
  • Ensure ethical AI practices, including bias mitigation and data governance.
  • Research and prototype emerging AI technologies to stay ahead of the curve.
  • Provide technical leadership and mentorship to junior engineers.

Qualifications

  • 10+ years of experience in software engineering and machine learning.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Proven experience designing, training, and fine-tuning Large Language Models (LLMs).
  • Strong understanding of MLOps, Kubernetes, and cloud infrastructure (AWS/GCP/Azure).
  • Experience with vector databases and semantic search technologies.
  • Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning MLOps AWS GCP Kubernetes LLMs Generative AI Deep Learning NLP

Ready to Take This Challenge?

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