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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Vision

Nexus Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Are you ready to architect the future of technology? Nexus Future Tech is seeking a visionary Lead AI Architect to spearhead our 2026 Readiness initiative.

In an era defined by rapid technological evolution, your role will be pivotal in defining how we leverage Artificial Intelligence to solve tomorrow's challenges today. You will not just implement existing solutions; you will pioneer the frameworks that will power our operations through 2026 and beyond.

We are looking for a thought leader who can bridge the gap between cutting-edge research and scalable production engineering. If you are passionate about the trajectory of AI and want to shape the industry standard for the next decade, we want to hear from you.

Responsibilities

  • Design and deploy scalable AI architectures that align with our 2026 strategic roadmap.
  • Lead the research and development of Generative AI models and Large Language Models (LLMs).
  • Optimize existing ML pipelines for high-performance computing environments.
  • Collaborate with cross-functional teams to integrate AI solutions into core products.
  • Mentor junior engineers and define technical best practices for the AI team.
  • Evaluate emerging technologies to ensure our stack remains future-proof.

Qualifications

  • Master’s degree in Computer Science, AI, or a related technical field (PhD preferred).
  • 7+ years of experience in software engineering with a focus on AI/ML.
  • Proven expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP).
  • Strong understanding of MLOps, data pipelines, and model deployment strategies.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.
  • Experience in leading technical teams in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch AWS GCP MLOps Generative AI NLP System Design Leadership

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