Job Description
We are looking for a visionary 2026 AI Solutions Architect to join our forward-thinking team in San Francisco. As we approach the next frontier of technological evolution, this role is critical in designing and deploying AI systems that will define our capabilities in 2026 and beyond. You will be at the forefront of integrating next-generation Large Language Models (LLMs), edge computing, and early quantum-ready algorithms into our core infrastructure.
If you are passionate about building the future today and driving unprecedented growth through advanced technology, we want you on our team.
Responsibilities
- Architect and deploy scalable, next-generation AI models tailored for the 2026 technological landscape.
- Lead the integration of edge AI and quantum-resistant cryptography into existing cloud infrastructures.
- Collaborate with cross-functional teams to align AI strategies with overarching business goals.
- Evaluate and implement emerging AI frameworks, hardware accelerators, and autonomous systems.
- Establish best practices for ethical AI deployment, data governance, and model observability.
- Mentor engineering teams on advanced machine learning techniques and scalable system architecture.
- Conduct continuous R&D to maintain a competitive advantage in predictive analytics.
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 7 years of experience in enterprise software architecture and machine learning engineering.
- Demonstrated expertise in deploying large-scale LLMs and generative AI solutions to production.
- Strong proficiency in Python, C++, and modern cloud platforms (AWS, GCP, or Azure).
- Familiarity with edge computing, federated learning, and quantum computing principles.
- Exceptional leadership, communication, and complex problem-solving skills.
- Proven track record of turning cutting-edge research concepts into robust, production-ready enterprise systems.