Home Job Details
C
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Horizon

Chronos Innovations
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the future of technology? Chronos Innovations is seeking a visionary Senior AI Architect to lead our strategic roadmap for 2026. We are building the next generation of autonomous systems and are looking for a technical leader who thrives in ambiguity and possesses the foresight to architect solutions that scale for a post-2026 world.

In this role, you will bridge the gap between cutting-edge research and practical deployment. You will be responsible for designing the core infrastructure that powers our AI models, ensuring they are robust, scalable, and ready for the rapid advancements expected by 2026.

Why join us?

  • Work on breakthrough projects that redefine industry standards.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a focus on deep work.
  • Opportunity to shape the company's 2026 vision directly.

If you are a forward-thinking engineer who wants to leave a legacy, we want to hear from you.

Responsibilities

  • Architect and design scalable machine learning infrastructure and cloud-native solutions aligned with the 2026 strategic timeline.
  • Lead the R&D efforts for next-generation neural networks and generative AI models.
  • Mentor a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with product managers to translate complex AI concepts into user-friendly roadmaps.
  • Ensure system security, data privacy, and compliance with global standards.
  • Prioritize technical debt reduction to ensure long-term maintainability of the codebase.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 7+ years of experience in software engineering and machine learning architecture.
  • Proficiency in Python, TensorFlow, PyTorch, and major cloud platforms (AWS, GCP, or Azure).
  • Proven track record of deploying large-scale AI systems in production environments.
  • Strong understanding of distributed systems, microservices, and containerization (Docker/Kubernetes).
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS GCP Docker Kubernetes Machine Learning Artificial Intelligence Distributed Systems Cloud Architecture

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All