Job Description
The Future is Now. QuantumCore Systems is pioneering the next generation of intelligent infrastructure. We are seeking a visionary Senior AI Systems Architect to lead our 2026 roadmap, bridging the gap between cutting-edge machine learning and scalable enterprise infrastructure. In this role, you will define the architectural standards that will power our platform for years to come.
Why Join Us?
- Work on 2026-ready technologies that are shaping the future.
- Competitive compensation and equity package.
- Flexible remote-first culture with state-of-the-art equipment.
Role Overview:
We are looking for a thought leader who can architect robust, high-performance AI systems. You will collaborate with cross-functional teams to integrate AI models into core products, ensuring scalability, security, and efficiency. This is a high-impact role for someone ready to define the technological landscape of 2026.
Responsibilities
- Design and implement scalable AI/ML architecture pipelines optimized for the 2026 data landscape.
- Lead the architectural review process for new features, ensuring alignment with long-term technical strategy.
- Optimize existing systems for high-throughput inference and low-latency processing.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with product managers to translate business requirements into technical specifications.
- Stay ahead of emerging technologies (e.g., Generative AI, Edge Computing) to drive product evolution.
- Ensure robust security and compliance standards are met across all AI infrastructures.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML systems architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and Kubernetes.
- Proven track record of designing large-scale distributed systems.
- Strong understanding of cloud platforms (AWS, GCP, or Azure) and serverless architectures.
- Experience with MLOps, data pipelines, and model deployment strategies.
- Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Machine Learning, or a related field is a plus.