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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Architect (2026 Roadmap)

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

Job Description

We are seeking a visionary Senior AI/ML Architect to lead our strategic roadmap for 2026. In this pivotal role, you will define the technological infrastructure that powers our next generation of intelligent solutions. You will bridge the gap between cutting-edge research and scalable production systems, ensuring our AI remains at the forefront of innovation. If you are passionate about shaping the future of technology and thrive in a fast-paced, high-performance environment, we want to hear from you.

Responsibilities

  • Architect and design scalable AI infrastructure capable of supporting enterprise-scale deployments by 2026.
  • Lead the research and implementation of next-generation machine learning models, including Generative AI and Large Language Models.
  • Collaborate with cross-functional teams to define product requirements and translate them into technical blueprints.
  • Establish best practices for data governance, model deployment, and MLOps pipelines.
  • Identify emerging technologies and trends to ensure our roadmap remains competitive and future-proof.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Present architectural decisions and roadmap updates to executive leadership stakeholders.

Qualifications

  • 10+ years of experience in software engineering, machine learning, or artificial intelligence.
  • Deep expertise in Python, TensorFlow, PyTorch, and major cloud platforms (AWS, GCP, or Azure).
  • Proven track record of leading complex AI initiatives from concept to production.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with MLOps tools, containerization (Docker/Kubernetes), and CI/CD pipelines.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Required Skills

Python Machine Learning Deep Learning NLP Cloud Architecture MLOps TensorFlow PyTorch AWS Leadership Strategic Planning

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