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Information Technology 🏒 Full Time ⭐️ Verified

Project 2026: Lead AI Architect

Nebula Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead Project 2026, our flagship initiative to redefine the boundaries of artificial intelligence and machine learning integration. In this pivotal role, you will be responsible for designing scalable, robust systems that power the next generation of intelligent applications. Join us at Nebula Systems and help build the technological foundation for the future.


Why Join Us?

  • Work with cutting-edge technologies and a world-class engineering team.
  • Competitive equity package and comprehensive benefits.
  • Flexible remote-first culture with a hub in San Francisco.

Responsibilities

  • Define and execute the architectural vision for Project 2026, ensuring alignment with business goals and technical standards.
  • Lead a high-performing team of engineers and data scientists to develop scalable AI models and distributed systems.
  • Design secure, high-availability infrastructure capable of handling enterprise-grade workloads.
  • Conduct deep technical research to evaluate emerging technologies and methodologies relevant to the 2026 roadmap.
  • Collaborate closely with product managers, stakeholders, and cross-functional teams to translate requirements into technical solutions.
  • Mentor junior developers and conduct code reviews to maintain high engineering standards.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of experience in software engineering, with at least 5 years in a senior architectural or leadership role.
  • Deep expertise in machine learning frameworks (TensorFlow, PyTorch) and large-scale distributed systems (Kubernetes, AWS, GCP).
  • Proven track record of delivering complex, mission-critical projects on time and within budget.
  • Strong understanding of cloud-native architectures, microservices, and DevOps practices.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning System Architecture Kubernetes AWS Python TensorFlow PyTorch Leadership

Ready to Take This Challenge?

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