Job Description
Are you a visionary engineer ready to shape the technological landscape of the year 2026? OmniCore Technologies is seeking a visionary Lead AI Architect to spearhead our next-generation artificial intelligence initiatives. We are not just building software; we are architecting the future.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable, production-ready systems. You will define the architectural standards for our AI infrastructure, ensuring we are prepared for the exponential growth of autonomous systems and deep learning models in the coming years.
Why Join Us?
- Work on cutting-edge projects that define the industry standard.
- Competitive compensation package and equity opportunities.
- Flexible remote-first culture with state-of-the-art equipment.
Join a team of elite engineers and data scientists committed to pushing the boundaries of what is possible in 2026.
Responsibilities
- Design and implement scalable AI infrastructure capable of supporting high-volume, low-latency processing in the 2026 era.
- Lead the architectural strategy for Machine Learning (ML) and Deep Learning (DL) models, ensuring robustness and scalability.
- Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
- Mentor junior architects and data scientists, fostering a culture of continuous learning and innovation.
- Stay ahead of emerging AI trends, including generative models and neural networks, to advise stakeholders on strategic investments.
- Oversee the end-to-life cycle of AI systems, from data ingestion to model deployment and monitoring.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Proven track record of leading large-scale AI projects from concept to deployment.
- Strong understanding of cloud architecture (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.