Job Description
The Future is Now. QuantumLeap Dynamics is pioneering the next generation of autonomous systems. We are looking for a visionary Senior AI & Automation Architect (2026 Vision) to lead our strategic roadmap and build the infrastructure that will define the next decade of human-machine collaboration.
In this role, you won't just implement existing technologies; you will architect the future. You will be responsible for designing scalable, ethical, and high-performance AI systems that solve complex problems in real-time. If you are ready to step into the future of technology and leave a lasting legacy, we want to hear from you.
Why Join Us?
- Work with state-of-the-art generative models and quantum-ready infrastructure.
- Competitive equity package and performance bonuses.
- Unlimited PTO and a remote-first culture that values autonomy.
Responsibilities
- Architect Future-Proof Systems: Design and oversee the deployment of end-to-end AI/ML pipelines, specifically focusing on scalability and readiness for 2026 standards.
- Lead Innovation Strategy: Identify emerging technologies (e.g., AGI, Neuromorphic Computing) and define how they integrate into our current product ecosystem.
- Model Optimization: Drive the reduction of inference costs and latency for large-scale transformer models.
- Ethical AI Governance: Establish and enforce frameworks for AI safety, bias mitigation, and data privacy compliance.
- Cross-Functional Leadership: Collaborate with product managers, engineers, and designers to translate complex technical concepts into user-centric solutions.
- Technical Mentorship: Mentor a team of brilliant engineers, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (or equivalent industry experience).
- Experience: 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and large language models (LLMs).
- Cloud Mastery: Proven experience designing architectures on AWS, Azure, or GCP with a focus on serverless and edge computing.
- System Design: Demonstrated ability to design systems capable of handling petabyte-scale data processing with high availability.
- Communication: Exceptional ability to communicate complex technical strategies to non-technical stakeholders.