Job Description
We are looking for a visionary Senior AI Architect to lead our engineering division into the next era of technology. As we prepare for the technological landscape of 2026, we need a strategic leader who can bridge the gap between theoretical AI research and scalable production systems.
In this role, you will not just write code; you will define the architectural standards that will power our products for the next decade. You will be at the forefront of Next-Gen AI, working on autonomous systems, predictive modeling, and generative intelligence.
Why Join Us?
- Work on cutting-edge Future Tech projects.
- Competitive compensation package and equity.
- Flexible remote-first culture with a San Francisco hub.
- Opportunity to shape the roadmap for 2026 and beyond.
If you are passionate about the future of artificial intelligence and possess the technical prowess to lead a high-performance team, we want to hear from you.
Responsibilities
- Architect and design scalable AI infrastructure capable of supporting the demands of 2026.
- Lead the research and implementation of advanced Machine Learning models, including LLMs and Reinforcement Learning.
- Define technical roadmaps and best practices for the engineering department.
- Collaborate with product managers to translate futuristic concepts into tangible software solutions.
- Mentor senior engineers and foster a culture of continuous innovation and technical excellence.
- Ensure system reliability, security, and performance across all AI deployments.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).
- 7+ years of professional experience in software engineering, with at least 3 years in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and microservices.
- Experience with Large Language Models (LLMs) and Generative AI technologies.
- Exceptional problem-solving skills and the ability to navigate ambiguity.
- Strong communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.