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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 240.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the technological landscape for the year 2026? Nexus Future Labs is seeking a visionary Senior AI/ML Architect to lead our next-generation infrastructure. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering, ensuring our systems are future-proof and at the forefront of innovation. Join a team that is not just building software, but defining the future of human-computer interaction.

Responsibilities

  • Architect and implement robust, scalable machine learning pipelines capable of processing petabytes of data in real-time.
  • Lead the research and development of cutting-edge AI models, focusing on Generative AI, Natural Language Processing (NLP), and predictive analytics.
  • Collaborate with cross-functional teams of engineers, product managers, and designers to translate business requirements into technical specifications.
  • Establish best practices for MLOps, including model monitoring, versioning, and automated retraining workflows.
  • Mentor and guide junior engineers, fostering a culture of technical excellence and continuous learning.
  • Ensure ethical AI deployment, focusing on bias mitigation and explainability in model outputs.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7+ years of experience in software development with a focus on Machine Learning and Artificial Intelligence.
  • Proficiency in programming languages such as Python, with deep expertise in PyTorch or TensorFlow.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of data architecture, data warehousing, and distributed systems.
  • Demonstrated success in deploying AI models into production environments at scale.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow MLOps AWS Kubernetes Natural Language Processing Distributed Systems Data Architecture

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