Job Description
Join the 2026 Initiative: We are seeking a visionary Senior AI Architect to lead the development of next-generation autonomous systems. This is a rare opportunity to shape the technological landscape of the future. At OmniCorp, we don't just predict trends; we engineer them. As part of the 2026 Strategic Initiative, you will be at the forefront of integrating Generative AI, Quantum-ready algorithms, and edge computing into scalable enterprise solutions.
Why You'll Love It
• Impactful Work: Build systems that redefine human-computer interaction.
• Innovation: Work with state-of-the-art frameworks and bleeding-edge hardware.
• Culture: A collaborative, high-performance environment focused on excellence.
Key Responsibilities
Responsibilities
- Architect and deploy scalable AI models designed for the 2026 roadmap, focusing on autonomy and efficiency.
- Lead the technical strategy for integrating Large Language Models (LLMs) with proprietary data pipelines.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Optimize model inference latency and reduce resource consumption for edge deployment scenarios.
- Collaborate with cross-functional teams (Product, Security, and Engineering) to define product requirements.
- Conduct rigorous code reviews and ensure adherence to industry best practices and security standards.
- Stay ahead of the curve by researching emerging technologies and proposing innovative solutions.
Qualifications
Qualifications
- Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 7+ years of professional experience in software engineering, with at least 3 years specifically in AI/ML architecture.
- Deep expertise in Python, C++, and distributed systems.
- Proven experience building and deploying production-grade LLM applications using frameworks like PyTorch, TensorFlow, or Hugging Face.
- Strong understanding of Machine Learning operations (MLOps) and cloud infrastructure (AWS, GCP, or Azure).
- Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.
- Strong communication skills with the ability to translate complex technical concepts to non-technical stakeholders.