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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: Project 2026

Nexus Dynamics
Seattle
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead our ambitious Project 2026 initiative. As we bridge the gap between current capabilities and the future of technology, you will design the core infrastructure that powers our next generation of autonomous systems and predictive analytics.

In this pivotal role, you will define the architectural roadmap, ensuring scalability, security, and ethical AI integration. You will lead a world-class team of engineers and data scientists, driving innovation that sets the standard for the industry. If you are passionate about shaping the digital landscape of the future, we want to hear from you.

Responsibilities

  • Architect and implement scalable AI/ML pipelines and infrastructure for Project 2026.
  • Collaborate with cross-functional teams to define technical requirements and product roadmaps.
  • Lead code reviews, architectural design sessions, and mentor junior engineers in best practices.
  • Stay abreast of emerging AI trends to drive innovation and competitive advantage.
  • Optimize existing systems for performance, latency, and cost efficiency.
  • Ensure compliance with data privacy regulations and security standards.

Qualifications

  • 10+ years of experience in software engineering, machine learning, and AI architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong background in cloud platforms (AWS, Azure, or GCP) and containerization (Kubernetes/Docker).
  • Experience designing distributed systems and microservices architectures.
  • Excellent communication, leadership, and stakeholder management skills.
  • Ability to thrive in a fast-paced, innovative environment and adapt to rapid changes.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python TensorFlow AWS Kubernetes Data Engineering Cloud Computing

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