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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Architect - 2026 Readiness

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027



Job Description

We are seeking a visionary Future Tech Architect to lead our 2026 strategic roadmap. This is not just a job; it is an opportunity to define the technological landscape of the next decade. You will be at the forefront of integrating Generative AI, predictive analytics, and next-gen infrastructure to build systems that are resilient, scalable, and ahead of the curve.

In this high-impact role, you will bridge the gap between abstract future concepts and tangible engineering solutions, ensuring our platform is ready for the demands of 2026 and beyond.

Responsibilities

  • Architect and deploy advanced AI/ML pipelines designed for 2026 scalability and performance.
  • Lead the implementation of Generative AI agents and Large Language Model (LLM) fine-tuning strategies.
  • Design secure, fault-tolerant systems capable of handling high-throughput data streams in real-time.
  • Collaborate with cross-functional product teams to translate futuristic 2026 vision into technical reality.
  • Optimize model inference and reduce latency for edge computing environments.
  • Mentor junior engineers and establish best practices for AI safety and ethics.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (or equivalent professional experience).
  • 5+ years of experience building and deploying production-grade machine learning models.
  • Deep proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of vector databases and Retrieval-Augmented Generation (RAG) architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of leading technical projects from concept to launch.

Required Skills

Python Machine Learning AI Architecture PyTorch TensorFlow Cloud Computing Kubernetes MLOps Generative AI Data Engineering

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