Job Description
Are you ready to define the future of technology?
OmniFuture Systems is seeking a visionary Senior AI Architect to lead our strategic roadmap toward 2026. We are building the next generation of intelligent infrastructure, and we need a leader who can bridge the gap between cutting-edge research and scalable production systems.
In this role, you will be responsible for architecting the AI landscape that will power our products through 2026 and beyond. You will not just write code; you will shape the very foundation of how we interact with data in the future.
Why join us?
- Work on high-impact projects that define the industry.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in San Francisco.
- Opportunity to mentor the next generation of AI engineers.
What you'll do:
As a Senior AI Architect, you will steer the technical direction of our AI initiatives, ensuring our solutions are robust, scalable, and future-proof for the 2026 landscape.
Responsibilities
- Architect 2026 Roadmap: Define and execute the long-term technical strategy for AI systems, aligning with the company's vision for 2026.
- System Design: Design complex, scalable AI architectures capable of handling massive data sets and real-time inference.
- Team Leadership: Mentor a team of machine learning engineers and data scientists, fostering a culture of innovation and continuous learning.
- Model Optimization: Oversee the development and deployment of state-of-the-art machine learning models, ensuring high accuracy and low latency.
- Technical Strategy: Evaluate emerging technologies and frameworks to integrate them into our core infrastructure.
- Collaboration: Work closely with product managers and stakeholders to translate business goals into technical specifications.
- Compliance & Ethics: Ensure all AI systems adhere to ethical guidelines and data privacy regulations.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: Minimum of 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior architectural role.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- Strategic Thinking: Proven track record of defining technical roadmaps for 5+ year horizons.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Problem Solving: Strong analytical skills with a focus on solving ambiguous problems.
- Agile: Experience working in agile environments and using CI/CD pipelines.