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Information Technology 🏒 Full Time ⭐️ Verified

Chief AI Architect - 2026 Vision

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are seeking a visionary Chief AI Architect to spearhead the technological roadmap for the year 2026. Nexus Horizon is at the forefront of the AI revolution, and we need a leader who can translate complex futuristic concepts into scalable, production-ready systems. You will define the architectural standards for our next-generation Generative AI suite, ensuring our solutions are not only state-of-the-art but ethically sound and future-proof.

In this role, you will bridge the gap between theoretical AI research and practical enterprise implementation, leading a team of elite engineers to build the intelligence layer of tomorrow.

Responsibilities

  • Strategic Roadmapping: Define and execute the 2026 AI technology roadmap, identifying emerging trends in LLMs, multi-modal agents, and autonomous systems.
  • System Architecture: Design high-scale, fault-tolerant distributed systems capable of processing petabytes of real-time data.
  • Model Optimization: Lead initiatives to reduce inference latency and cost while maximizing model accuracy for our core products.
  • Team Leadership: Mentor senior engineers and architects, fostering a culture of innovation, technical excellence, and continuous learning.
  • AI Governance: Establish frameworks for AI safety, bias mitigation, and compliance with global data regulations.
  • Research Integration: Evaluate and integrate cutting-edge research papers into production pipelines.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 10+ years of experience in software engineering, with at least 5 years in a senior or leadership role within AI/ML.
  • Technical Skills: Deep expertise in Deep Learning frameworks (PyTorch, TensorFlow), Large Language Models (GPT, LLaMA), and distributed computing systems.
  • Programming: Proficiency in Python, C++, and Cloud-native technologies (AWS, GCP, or Azure).
  • Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Passion: Demonstrated track record of innovation and a passion for solving humanity's hardest problems through technology.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs Natural Language Processing (NLP) Distributed Systems AWS GCP Kubernetes System Architecture Leadership

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