Job Description
Join the Vanguard of Tomorrow.
We are not just building software for today; we are architecting the infrastructure of 2026 and beyond. OmniCorp Industries is seeking a visionary Senior AI Architect to lead our cutting-edge R&D division. If you are passionate about predictive algorithms, neural networks, and scalable systems, this is your chance to shape the future of technology.
In this role, you will bridge the gap between theoretical AI research and practical, market-ready applications. You will define the architectural standards for our next-generation platforms, ensuring they remain resilient and innovative in a rapidly evolving digital landscape.
Why Join Us?
- Work on projects that define the trajectory of AI adoption.
- Competitive compensation package and equity options.
- Flexible remote-first culture with state-of-the-art offices in SF.
Responsibilities
- Design and implement scalable, high-performance AI systems and machine learning pipelines aligned with the 2026 roadmap.
- Lead architectural decision-making for cloud infrastructure, ensuring security, scalability, and cost-efficiency.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business needs into technical solutions.
- Research and evaluate emerging technologies to integrate into our existing ecosystem.
- Mentor junior architects and engineers, fostering a culture of continuous learning and innovation.
- Define and enforce coding standards, best practices, and governance for AI projects.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field (or equivalent extensive experience).
- 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML engineering.
- Proficiency in programming languages such as Python, Java, or C++.
- Deep understanding of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and big data technologies (Spark, Hadoop).
- Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.