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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Roadmap

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

About Nexus Horizon: We are at the forefront of the 2026 AI Revolution. As a premier technology firm, we are building the neural infrastructure for the future. We are looking for a visionary Senior AI Architect to spearhead our cutting-edge Generative AI initiatives and define the technical roadmap for the next era of intelligent systems.


The Role:

In this pivotal position, you will bridge the gap between theoretical AI research and scalable production engineering. You will lead a team of data scientists and engineers to deploy state-of-the-art Large Language Models (LLMs) and autonomous agents. If you are passionate about shaping the technological landscape of 2026 and beyond, we want to hear from you.

Responsibilities

  • Architect the Future: Design and implement scalable, high-performance AI architectures aligned with the 2026 technology roadmap.
  • Model Optimization: Lead the deployment and fine-tuning of Generative AI models, optimizing for latency, cost, and accuracy.
  • System Integration: Integrate AI capabilities into legacy systems and cloud-native environments using modern microservices.
  • Team Leadership: Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Strategic Vision: Collaborate with C-level executives to define the long-term AI strategy and product vision.
  • Risk Management: Identify potential biases and security vulnerabilities in AI models and implement robust mitigation strategies.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
  • Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Cloud Mastery: Extensive experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
  • Generative AI: Proven track record of working with LLMs (e.g., GPT, LLaMA, Claude) and RAG architectures.
  • Leadership: Demonstrated ability to lead cross-functional teams and drive complex technical projects from conception to deployment.

Required Skills

Python Machine Learning System Architecture Generative AI LLM PyTorch Kubernetes AWS Cloud Computing

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