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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect & 2026 Strategy Lead

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the future of intelligence?

Nexus Horizon Solutions is pioneering the next generation of generative AI ecosystems for the 2026 horizon. We are seeking a visionary Senior AI Architect to lead our research and development division. In this pivotal role, you will define the technical roadmap for our proprietary LLMs, ensuring they remain at the cutting edge of efficiency, scalability, and ethical AI standards.

Join a team of elite engineers and data scientists dedicated to solving humanity's most complex challenges through advanced artificial intelligence. If you thrive in a high-performance environment and want to define the tech landscape of 2026, we want to hear from you.

Responsibilities

  • Architect & Design: Design and implement scalable, fault-tolerant AI infrastructure capable of processing petabyte-scale datasets.
  • Strategic Vision: Define the long-term technical strategy for Generative AI and Machine Learning models, specifically targeting 2026 benchmarks.
  • R&D Leadership: Lead a team of data scientists in researching emerging paradigms such as Autonomous Agents and Neuro-symbolic AI.
  • System Optimization: Oversee the optimization of model inference times and reduce energy consumption in cloud-native environments.
  • Compliance & Ethics: Establish and enforce rigorous AI governance frameworks to ensure fairness, transparency, and safety.
  • Cross-Functional Collaboration: Partner with product managers and engineering teams to translate complex AI capabilities into user-centric features.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field (PhD preferred).
  • Experience: 7+ years of professional experience in AI/ML engineering, with at least 3 years in a senior or leadership role.
  • Tech Stack: Deep proficiency in Python, PyTorch, TensorFlow, and modern GPU computing frameworks (CUDA, RAPIDS).
  • 2026 Expertise: Demonstrated experience with Large Language Models (LLMs), Fine-tuning strategies, and Vector Database architectures.
  • Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch LLM Generative AI System Architecture Cloud Computing R&D Leadership

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