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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Horizon Initiative

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the trajectory of artificial intelligence for the next decade? Nexus Future Systems is seeking a visionary Senior AI Architect (2026 Horizon Initiative) to lead our cutting-edge research and deployment efforts. In this pivotal role, you will bridge the gap between theoretical machine learning and scalable, real-world applications, ensuring our infrastructure remains ahead of the curve.

We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to build systems that not only understand data but anticipate the future. Join us in crafting the digital ecosystem of tomorrow.

Responsibilities

  • Architect Advanced AI Solutions: Design and implement scalable machine learning pipelines and neural network architectures tailored for the 2026 strategic roadmap.
  • Lead Technical Strategy: Collaborate with C-level executives to define the technical vision for the Horizon Initiative, ensuring alignment with business objectives.
  • Optimize Performance: Conduct deep dives into model efficiency, reducing latency and computational costs for high-volume data processing.
  • Team Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • R&D Integration: Stay at the forefront of emerging technologies (e.g., Quantum ML, AGI), prototyping experimental features for future release.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
  • Experience: Minimum of 8+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML architecture.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and large language model (LLM) fine-tuning.
  • System Design: Proven track record of designing high-availability, distributed systems capable of handling petabyte-scale data.
  • Communication: Exceptional ability to translate complex technical concepts into clear strategies for non-technical stakeholders.

Required Skills

Python Machine Learning Neural Networks TensorFlow PyTorch System Architecture AWS GCP Kubernetes Data Engineering AI Strategy

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