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Senior AI Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our next-generation research initiatives. At Nexus Future Systems, we are building the foundational technologies that will define the AI landscape in 2026 and beyond. You will be responsible for designing scalable, secure, and efficient machine learning systems that push the boundaries of what is possible.

If you are passionate about the future of artificial intelligence and thrive in a fast-paced, high-impact environment, we want to meet you.

Responsibilities

  • System Architecture: Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring.
  • Research Leadership: Spearhead research into emerging AI paradigms, including Generative AI, Transformer models, and Autonomous Agents.
  • Optimization: Optimize large-scale models for inference speed and memory efficiency to ensure real-time performance.
  • Team Mentorship: Guide a team of data scientists and ML engineers, fostering a culture of innovation and technical excellence.
  • Strategic Planning: Define the technical roadmap for AI capabilities that align with business goals and future technological trends.
  • Compliance: Ensure all AI systems adhere to ethical guidelines, bias mitigation standards, and regulatory requirements.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of professional experience in machine learning, deep learning, or AI engineering.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed computing and MLOps.
  • Domain Knowledge: Deep expertise in Natural Language Processing (NLP) or Computer Vision is highly preferred.
  • Cloud Mastery: Experience designing solutions on major cloud platforms (AWS, GCP, or Azure).
  • Communication: Excellent verbal and written communication skills, with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS GCP Generative AI System Design

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