Job Description
We are seeking a visionary Senior AI Systems Architect (2026 Vision) to lead our engineering team in building the infrastructure of tomorrow. As we prepare for the next generation of autonomous systems and generative AI, you will define the architectural blueprints that drive our product roadmap. If you are passionate about pushing the boundaries of machine learning and possess a strategic mindset for scalable system design, this is your opportunity to shape the future of technology.
Why Join Us?
- Work on cutting-edge projects with a focus on the 2026 technological horizon.
- Competitive salary and equity package.
- Flexible remote-first culture with a hub in Austin.
- Access to the latest hardware and software stacks.
Key Responsibilities:
- Design and architect high-scale, distributed AI systems capable of processing petabytes of data in real-time.
- Lead the technical strategy for the 2026 roadmap, integrating quantum computing concepts into cloud architectures.
- Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with product managers to translate business requirements into robust technical solutions.
- Ensure system reliability, security, and scalability across all deployed environments.
- Stay ahead of industry trends, evaluating new frameworks and tools to optimize performance.
Qualifications:
- 10+ years of experience in software engineering and system architecture.
- Deep expertise in Machine Learning, Deep Learning, and Large Language Models (LLMs).
- Proficiency in Python, Java, and C++ with experience in distributed systems (Kubernetes, Docker).
- Strong understanding of cloud platforms, specifically AWS or Azure, with a focus on serverless architectures.
- Experience with vector databases and embedding strategies for semantic search.
- Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).
Responsibilities
- Design and architect high-scale, distributed AI systems capable of processing petabytes of data in real-time.
- Lead the technical strategy for the 2026 roadmap, integrating quantum computing concepts into cloud architectures.
- Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with product managers to translate business requirements into robust technical solutions.
- Ensure system reliability, security, and scalability across all deployed environments.
- Stay ahead of industry trends, evaluating new frameworks and tools to optimize performance.
Qualifications
- 10+ years of experience in software engineering and system architecture.
- Deep expertise in Machine Learning, Deep Learning, and Large Language Models (LLMs).
- Proficiency in Python, Java, and C++ with experience in distributed systems (Kubernetes, Docker).
- Strong understanding of cloud platforms, specifically AWS or Azure, with a focus on serverless architectures.
- Experience with vector databases and embedding strategies for semantic search.
- Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).