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Software Development 🏢 Full Time ⭐️ Verified

Senior AI/ML Architect (2026 Vision)

Nexus Future Systems
Seattle
Estimated Salary
USD 160.000 – USD 240.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

The Opportunity: We are pioneering the technological frontier for 2026. Nexus Future Systems is seeking a visionary Senior AI/ML Architect to design and deploy the next generation of autonomous AI agents and large-scale generative models. If you want to build the infrastructure that powers the future of enterprise intelligence, this is your stage.

Role Overview: In this pivotal role, you will lead the architectural strategy for our core AI platform. You will bridge the gap between theoretical AI research and production-grade engineering, ensuring scalability, security, and performance at a global scale.

Responsibilities

  • Design and implement scalable machine learning pipelines and model serving architectures optimized for high-throughput environments.
  • Lead the integration of Generative AI (LLMs) and Retrieval-Augmented Generation (RAG) frameworks into our core product suite.
  • Collaborate with cross-functional teams to define technical roadmaps and drive innovation in 2026-ready technologies.
  • Optimize model inference latency and resource utilization using advanced quantization and pruning techniques.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Ensure data privacy, compliance, and ethical AI governance across all deployed models.

Qualifications

  • 7+ years of experience in software engineering, with at least 4 years specifically in Machine Learning or AI architecture.
  • Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Experience building and deploying LLMs, fine-tuning models, and managing vector databases (e.g., Pinecone, Milvus).
  • Strong understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Familiarity with MLOps tools, CI/CD pipelines, and model monitoring platforms.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python Machine Learning Deep Learning LLM PyTorch TensorFlow Kubernetes AWS MLOps System Design

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