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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Roadmap

Nebula Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead our technology roadmap for the 2026 era. As we prepare to redefine the boundaries of artificial intelligence and generative systems, you will be at the helm of designing scalable, secure, and innovative infrastructure.

In this pivotal role, you will bridge the gap between theoretical AI models and practical, high-impact engineering solutions. You will work closely with product leaders to translate strategic goals into technical excellence, ensuring our platforms are ready for the next generation of user experiences.

Why Join Us?

  • Work on cutting-edge projects that define the future of tech.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable cloud-native architectures optimized for AI workloads and 2026 performance standards.
  • Lead AI Integration: Oversee the integration of advanced machine learning models into core product features.
  • Roadmap Strategy: Define the technical vision for the 2026 product cycle, including technology selection and migration strategies.
  • Code Quality & Mentorship: Set coding standards and mentor a team of high-performing engineers to ensure best practices.
  • Cross-Functional Collaboration: Partner with product managers, designers, and data scientists to deliver cohesive solutions.

Qualifications

  • Experience: 7+ years of software engineering experience with at least 3 years in AI/ML system architecture.
  • Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS/Azure/GCP).
  • Leadership: Proven track record of leading technical teams and managing complex projects.
  • Problem Solving: Strong ability to solve complex technical challenges and optimize system performance.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).

Required Skills

Python Machine Learning System Architecture AWS Kubernetes TensorFlow Cloud Computing Leadership Software Engineering

Ready to Take This Challenge?

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