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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Horizon) - San Francisco

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are at the forefront of technological innovation, and we are looking for a visionary Senior AI Architect to help us define the roadmap for 2026 and beyond. In this role, you will lead the design and implementation of next-generation artificial intelligence systems that will revolutionize our industry. You will work closely with cross-functional teams to bridge the gap between theoretical AI research and production-grade applications.

Why Join Us?

  • Impactful Work: Build scalable AI solutions that will define the future of our company.
  • Future-Ready: Focus on cutting-edge technologies for the 2026 tech landscape.
  • Competitive Compensation: Top-tier salary and equity package.

If you are passionate about the future of AI and want to lead the charge in building the intelligent systems of tomorrow, we want to hear from you.

Responsibilities

  • Architect and design scalable, fault-tolerant machine learning pipelines for the 2026 product roadmap.
  • Lead the research and implementation of state-of-the-art neural network architectures.
  • Collaborate with data scientists and software engineers to integrate AI models into production environments.
  • Mentor junior engineers and establish best practices for AI development and deployment.
  • Stay ahead of industry trends in AI, ensuring our technology stack remains competitive.
  • Evaluate and select appropriate AI frameworks and hardware accelerators.
  • Drive the definition of technical specifications for high-impact projects.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 7 years of experience in software engineering with a focus on Machine Learning and Deep Learning.
  • Proven expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Strong understanding of distributed systems and cloud computing (AWS, GCP, or Azure).
  • Experience with MLOps, CI/CD, and model versioning tools.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
  • Strong communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Computer Vision Cloud Architecture AWS MLOps Agile System Design

Ready to Take This Challenge?

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