Job Description
Are you ready to architect the future? OmniFuture Systems is launching Project 2026, a revolutionary initiative aimed at defining the next decade of intelligent infrastructure. We are seeking a visionary Senior AI Architect to lead our engineering efforts in San Francisco.
In this role, you won't just write code; you will define the architectural standards for the next generation of AI systems. You will be at the forefront of innovation, building scalable, robust, and intelligent solutions that will power our platform for years to come.
Why Join Us?
- Impactful Work: Shape the core infrastructure of Project 2026.
- Competitive Compensation: Base salary range of $180k - $250k plus equity.
- Modern Tech Stack: Work with Python, TensorFlow, and Cloud-native architectures.
- Culture of Excellence: Collaborate with top-tier engineers in a hybrid environment.
Responsibilities
- Lead the architectural vision for Project 2026, ensuring scalability, security, and performance.
- Design and implement complex AI-driven microservices and machine learning pipelines.
- Collaborate closely with product managers and data scientists to translate business requirements into technical specifications.
- Mentor a team of high-performing engineers, conducting code reviews and establishing best practices.
- Research and integrate emerging technologies to maintain a competitive edge in the AI landscape.
- Oversee the deployment and maintenance of cloud infrastructure on AWS or GCP.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep proficiency in Python and modern machine learning frameworks (TensorFlow, PyTorch).
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Experience with real-time data processing and large-scale system design.
- Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.