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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: Project 2026

NovaTide Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Welcome to NovaTide Systems, where we are building the intelligence layer for the next decade. As we prepare for our flagship launch in 2026, we are seeking a visionary Lead AI Architect to spearhead our generative AI and predictive modeling infrastructure. You won't just be writing code; you will be defining the ethical framework and technical standards for a new era of human-machine collaboration.

We are looking for a technologist who thrives in ambiguity and is obsessed with scalability, security, and performance. If you are ready to define the roadmap for the future of artificial intelligence, this is your opportunity.

Responsibilities

  • Strategic Leadership: Define the technical vision and architectural strategy for our AI initiatives leading up to and beyond the 2026 launch.
  • System Architecture: Design and implement robust, fault-tolerant machine learning pipelines and neural network infrastructures capable of processing petabytes of data.
  • Model Optimization: Oversee the training and fine-tuning of large language models (LLMs) and generative AI models, ensuring optimal latency and accuracy.
  • Talent Development: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Collaboration: Work closely with product managers, engineers, and stakeholders to translate business requirements into technical solutions.
  • R&D: Stay ahead of industry trends in AI, quantum computing, and edge computing to integrate cutting-edge advancements into our stack.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative 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 proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Architecture: Proven track record of designing scalable systems for high-traffic environments.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Agile Mindset: Experience working in Agile/Scrum environments with a focus on rapid iteration and delivery.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Architecture Kubernetes Agile Data Engineering

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