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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Roadmap

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Are you ready to define the future of technology?

Nexus Future Labs is seeking a visionary Lead AI Architect to spearhead our technical strategy for 2026. In this role, you will not just implement existing solutions; you will architect the very frameworks that will define the next generation of intelligent systems. If you thrive in a fast-paced, high-impact environment and have a passion for pushing the boundaries of Artificial Intelligence, we want to meet you.

Join us as we build the infrastructure that powers the world of tomorrow, today.

Responsibilities

  • Define the 2026 Technical Roadmap: Lead the strategic vision for AI infrastructure, identifying emerging trends in Generative AI and Large Language Models (LLMs) to ensure our platform remains a decade ahead.
  • System Architecture & Scalability: Design and oversee the implementation of robust, scalable AI systems capable of handling enterprise-level workloads.
  • Cross-Functional Leadership: Collaborate with product managers, data scientists, and engineering teams to translate business goals into technical blueprints.
  • MLOps & Deployment: Establish and refine MLOps pipelines to automate model training, testing, and deployment processes.
  • Ethical AI & Compliance: Champion responsible AI practices, ensuring all models adhere to strict ethical guidelines and regulatory standards.

Qualifications

  • Expertise in AI/ML: 8+ years of experience in Machine Learning Engineering, with a deep focus on NLP, Computer Vision, or Deep Learning.
  • Tech Stack Mastery: Proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS/GCP/Azure).
  • Strategic Mindset: Demonstrated ability to think long-term (5+ years out) and architect solutions that are future-proof.
  • Leadership Experience: Proven track record of managing high-performing engineering teams and leading complex technical projects.
  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch System Architecture MLOps AWS Leadership Generative AI 2026 Roadmap

Ready to Take This Challenge?

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