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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Solutions Architect

Nebula 2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

We are seeking a visionary Senior AI/ML Solutions Architect to lead our cutting-edge initiatives. In 2026, the landscape of artificial intelligence is shifting towards autonomous systems and hyper-personalization. Nebula 2026 is at the forefront of this revolution, and we need a technical leader to define our architectural standards.

As an integral part of our engineering team, you will bridge the gap between theoretical research and scalable production environments, ensuring our solutions are robust, efficient, and future-proof.

Responsibilities

  • Design and implement scalable AI infrastructure for large-scale data processing.
  • Lead the architectural strategy for Generative AI and Large Language Models (LLMs).
  • Collaborate with cross-functional teams to translate business requirements into technical roadmaps.
  • Drive the adoption of MLOps best practices and CI/CD pipelines for model deployment.
  • Perform technical due diligence on emerging technologies to ensure long-term competitiveness.
  • Mentor and coach junior architects and engineers on advanced machine learning techniques.
  • Optimize model inference and reduce latency for real-time applications.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • 8+ years of experience in software engineering, with at least 4 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Strong proficiency in cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Proven track record of deploying high-performance ML models into production.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning System Design Cloud Computing AI/ML Architecture MLOps Generative AI Kubernetes AWS

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