Job Description
Are you ready to shape the future of intelligent systems? OmniTech Solutions is pioneering the 2026 Initiative, a cutting-edge program dedicated to developing next-generation generative AI infrastructures. We are seeking a visionary Senior AI Architect to lead our technical roadmap and define the standards for tomorrow's technology.
In this role, you will bridge the gap between theoretical machine learning research and scalable production engineering. You will work in a collaborative environment with world-class engineers and researchers to build systems that are not just functional, but transformative.
Responsibilities
- Architect Scalable Systems: Design and implement robust, distributed machine learning pipelines capable of handling petabyte-scale data streams.
- Model Optimization: Lead efforts in model quantization, pruning, and inference optimization to ensure high-performance deployment on edge and cloud devices.
- Technical Leadership: Mentor junior engineers and data scientists, conducting code reviews and architectural assessments to maintain high engineering standards.
- Research Integration: Translate state-of-the-art research papers in AI/ML into practical, production-ready software solutions.
- Infrastructure Management: Oversee the CI/CD pipeline, containerization strategies (Docker/Kubernetes), and serverless architecture to ensure 99.99% uptime.
- Strategic Planning: Collaborate with product leaders to define the technical vision for the 2026 roadmap, identifying emerging technologies and trends.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of professional experience in software engineering with a strong focus on Machine Learning and Deep Learning.
- Programming: Expert-level proficiency in Python, PyTorch, and TensorFlow. Familiarity with Rust or Go is a significant plus.
- Cloud Expertise: Deep understanding of AWS, GCP, or Azure; experience with serverless architectures and managed ML services.
- System Design: Proven track record of designing complex, fault-tolerant systems at scale.
- Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.