Job Description
Are you ready to define the technology landscape of 2026?
OmniLogic Systems is seeking a visionary Senior AI Architect to lead our next-generation projects. We are building the infrastructure that will power the digital world in the coming years. In this pivotal role, you will not just implement existing technologies, but design and prototype the breakthrough solutions that will define the industry by 2026.
We are looking for a forward-thinking leader who combines deep technical expertise with a strategic vision for the future of Artificial Intelligence.
Why Join Us?
- Work on cutting-edge AI infrastructure designed for the next decade.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a San Francisco HQ.
What You Will Do:
- Architect Future-Proof Systems: Design scalable, resilient AI architectures that anticipate the performance demands of the 2026 landscape.
- Lead R&D Initiatives: Spearhead research into emerging AI paradigms, including advanced LLMs and edge computing.
- Bridge Theory and Practice: Translate complex research papers into production-ready code and scalable prototypes.
- Mentor the Next Generation: Guide a team of brilliant engineers and data scientists, fostering a culture of innovation.
- Define Ethical Standards: Establish governance frameworks for AI safety and ethical deployment.
Responsibilities
- Lead the technical vision for AI product development aligned with the 2026 roadmap.
- Design and optimize deep learning models for high-velocity environments.
- Collaborate with cross-functional teams (Product, Security, Design) to integrate AI seamlessly.
- Conduct code reviews and ensure architectural best practices are followed.
- Identify and mitigate technical risks before they impact the product timeline.
- Stay ahead of industry trends to ensure our technology stack remains future-proof.
Qualifications
- Education: MS or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: 8+ years of experience in software engineering with a focus on Artificial Intelligence and Machine Learning.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, AWS/GCP).
- Strategic Mindset: Demonstrated ability to think long-term and architect systems that scale beyond current constraints.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Problem Solving: Proven track record of solving ambiguous, high-stakes technical problems.