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Information Technology 🏢 Full Time ⭐️ Verified

Project 2026 Lead AI Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead Project 2026, our ambitious initiative to redefine the landscape of artificial intelligence and autonomous systems. In this pivotal role, you will be responsible for architecting the next generation of scalable, secure, and high-performance AI infrastructure designed to lead the market into the future. You will work at the intersection of cutting-edge technology and strategic business planning, ensuring our technical vision translates into tangible results.

Join a team of elite engineers and strategists who are committed to pushing the boundaries of what is possible. If you are passionate about solving complex problems and building systems that stand the test of time, we want to hear from you.

Responsibilities

  • Architect and design the core infrastructure for Project 2026, ensuring scalability and high availability.
  • Define and communicate the long-term technical roadmap and vision for AI development.
  • Lead a team of senior engineers and data scientists in implementing innovative AI solutions.
  • Collaborate with product managers and stakeholders to align technical strategies with business goals.
  • Ensure rigorous security standards and compliance across all deployed systems.
  • Drive the adoption of best practices in software engineering and machine learning operations.
  • Identify and mitigate technical risks associated with future-proofing our technology stack.

Qualifications

  • 10+ years of experience in software engineering, system architecture, and AI/ML development.
  • Proven experience leading large-scale, complex technical projects with high visibility.
  • Deep expertise in machine learning frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, GCP).
  • Strong understanding of distributed systems, microservices, and containerization (Docker, Kubernetes).
  • Excellent leadership, communication, and cross-functional collaboration skills.
  • Master's degree in Computer Science, Artificial Intelligence, or a related technical field is preferred.

Required Skills

AI Machine Learning System Architecture Python TensorFlow Cloud Computing AWS Kubernetes Leadership Strategic Planning

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