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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nebula Core Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are looking for a visionary Senior AI Architect to lead our Project 2026 initiative. This is a high-impact role where you will define the technical roadmap for next-generation predictive models and autonomous systems. You will work at the intersection of deep learning, cloud infrastructure, and scalable software engineering to build solutions that redefine industry standards.

Why Join Us?

  • Work on cutting-edge technology shaping the future of AI.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a hub in San Francisco.

If you are passionate about building robust, scalable systems and want to leave a legacy with Project 2026, we want to hear from you.

Responsibilities

  • Lead the architectural design and implementation of the Project 2026 AI infrastructure, ensuring high availability and scalability.
  • Define and enforce coding standards, best practices, and architectural patterns across the engineering team.
  • Collaborate with cross-functional teams (product, data science, and engineering) to translate business requirements into technical solutions.
  • Optimize existing machine learning pipelines for performance, latency, and cost-efficiency.
  • Conduct code reviews and mentor junior and mid-level engineers to foster technical growth.
  • Stay abreast of the latest advancements in AI, ML frameworks, and cloud technologies to drive innovation.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • 8+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of designing and deploying large-scale machine learning models in production environments.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Docker Machine Learning Deep Learning Cloud Architecture System Design

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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