Home Job Details
A
Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: Shaping the 2026 Vision

Aetheria Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

The Opportunity
We are seeking a visionary Lead AI Architect to drive the technological roadmap for 2026 and beyond. At Aetheria Future Tech, we are not just building software; we are architecting the future of intelligent systems. You will be at the forefront of Generative AI, autonomous agents, and predictive modeling, defining the standards that will define the industry for the next decade.

Why Join Us?
β€’ Be part of a mission-driven team focused on long-term technological impact.
β€’ Work with state-of-the-art infrastructure and cutting-edge research.
β€’ Competitive compensation package including equity and comprehensive benefits.

The Role
You will own the architectural strategy for our core AI platforms, ensuring scalability, security, and innovation. You will collaborate with cross-functional teams to translate complex business requirements into robust, future-proof technical solutions.

Responsibilities

  • Design and implement scalable, high-performance AI architectures for enterprise-level applications.
  • Define the technical roadmap for 2026, focusing on Generative AI and Large Language Models (LLMs).
  • Lead a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ensure system reliability, security, and data governance across all AI initiatives.
  • Stay ahead of industry trends and integrate emerging technologies into our product ecosystem.
  • Mentor junior staff and conduct technical architecture reviews.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or equivalent machine learning frameworks.
  • Strong understanding of cloud-native architecture (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Proven track record of leading large-scale projects from conception to deployment.
  • Excellent communication skills, with the ability to bridge the gap between technical and non-technical stakeholders.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture System Design Generative AI Leadership AWS Docker Kubernetes

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