Home Job Details
O
Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: Shaping the 2026 Horizon

Orbital AI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to build the infrastructure that will define the future of technology in 2026?

Orbital AI Solutions is seeking a visionary Lead AI Architect to spearhead our next-generation generative AI platform. In this role, you will bridge the gap between theoretical AI breakthroughs and scalable, production-ready systems. We are looking for a technical leader who isn't just comfortable with today's tools, but is already architecting for the innovations of tomorrow.

Join a team of elite engineers and researchers dedicated to pushing the boundaries of what is possible with artificial intelligence. You will have the autonomy to design systems that are not only robust and efficient but also future-proof against the rapid evolution of the tech landscape.

Key Highlights:
- Work on cutting-edge Large Language Models (LLMs) and Autonomous Agents.
- Shape the architectural roadmap for a company valued in the billions.
- Competitive equity package and benefits.

Responsibilities

  • Design and implement scalable, high-performance AI infrastructure capable of handling 2026-scale workloads.
  • Lead the architectural strategy for migrating legacy systems to quantum-ready cloud environments.
  • Oversee the development and fine-tuning of proprietary generative AI models.
  • Collaborate with cross-functional product teams to define the technical vision for future product features.
  • Optimize system latency and computational efficiency to reduce operational costs.
  • Mentor and coach a team of senior engineers, fostering a culture of continuous innovation.
  • Establish best practices for security, compliance, and ethical AI deployment.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML infrastructure.
  • Deep expertise in Python, Rust, and modern cloud-native technologies (AWS, GCP, or Azure).
  • Proven experience building and deploying Large Language Models (LLMs) and Transformers.
  • Strong understanding of distributed systems, microservices architecture, and data streaming.
  • Track record of leading high-performance engineering teams in a fast-paced startup environment.
  • Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Cloud Architecture Rust Kubernetes Distributed Systems Generative AI System Design AWS GCP AI/ML

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