Job Description
Are you ready to define the future of intelligent systems?
Quantum Leap Technologies is on a mission to pioneer the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our architectural strategy, designing scalable, high-performance machine learning systems that will power the next generation of digital experiences.
In this role, you won't just maintain existing systems; you will architect the roadmap for 2026. You will bridge the gap between theoretical AI research and production-grade engineering, ensuring our platforms are robust, ethical, and future-proof.
Why Join Us?
- Impactful Work: Build core infrastructure used by millions.
- Future-First: Focus on emerging technologies (LLMs, Agents, Edge AI).
- Competitive Package: Comprehensive benefits and equity package.
Join us in shaping the trajectory of AI for the decade ahead.
Responsibilities
- Lead the end-to-end architectural design of our 2026 AI infrastructure, ensuring scalability and fault tolerance.
- Define the technical roadmap for Generative AI integration and large-scale model deployment.
- Collaborate with cross-functional teams (Data Science, Product, Security) to translate business requirements into technical solutions.
- Optimize existing ML pipelines for latency, throughput, and cost-efficiency in cloud environments.
- Establish best practices for MLOps, monitoring, and observability within the engineering organization.
- Mentor junior architects and engineers, fostering a culture of innovation and technical excellence.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and modern ML frameworks.
- Proven experience designing systems for Large Language Models (LLMs) and Generative AI.
- Strong background in distributed systems, microservices, and cloud architecture (AWS, GCP, or Azure).
- Familiarity with MLOps tools (Kubeflow, MLflow, Airflow) and containerization (Docker, Kubernetes).
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.