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Senior AI Architect (2026 Roadmap)

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are looking for a visionary Senior AI Architect (2026 Roadmap) to lead the technological evolution of Nexus Future Systems. In this pivotal role, you will define the architectural strategy for our next-generation AI platforms, ensuring we remain at the forefront of innovation as we look toward the future.

As a key member of our technical leadership team, you will bridge the gap between complex research concepts and scalable production solutions. You will be responsible for building robust, secure, and ethical AI systems that power our core products, positioning Nexus Future Systems as a leader in the industry.

Responsibilities

  • Define the comprehensive AI and Machine Learning architecture for the 2026 product roadmap and beyond.
  • Lead the design and implementation of scalable distributed systems using modern cloud technologies.
  • Oversee the data pipeline architecture, ensuring high availability, security, and real-time processing capabilities.
  • Collaborate with product managers and engineers to integrate AI models into user-facing applications seamlessly.
  • Research and prototype emerging technologies, including Generative AI, Large Language Models (LLMs), and edge computing.
  • Establish best practices for code quality, CI/CD pipelines, and automated testing within the AI ecosystem.
  • Mentor and guide a team of talented data scientists and software engineers to foster professional growth.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 8 years of experience in software engineering with a strong focus on AI/ML architecture.
  • Deep proficiency in Python, TensorFlow, PyTorch, and experience with major ML frameworks.
  • Extensive experience designing and deploying large-scale systems on AWS, GCP, or Azure.
  • Strong understanding of distributed systems, microservices, and containerization (Docker/Kubernetes).
  • Proven track record of leading technical initiatives and driving architectural decisions.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS GCP Machine Learning Distributed Systems Cloud Architecture Docker Kubernetes Generative AI

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