Job Description
Are you ready to architect the future of Artificial Intelligence?
Quantum Leap Systems is pioneering the next generation of Autonomous Agents and Generative AI infrastructure designed for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our R&D division in building scalable, safe, and intelligent systems that redefine human-computer interaction.
In this pivotal role, you will not just implement existing models; you will design the architectural frameworks that will power the AI-native world of tomorrow. You will work at the intersection of Machine Learning, Distributed Systems, and Ethical AI.
Why Join Us?
- Work on bleeding-edge projects with a $10B valuation target.
- Competitive equity package and top-tier healthcare.
- Flexible remote-first culture with a hub in the heart of SF.
- Direct access to C-suite leadership.
Responsibilities
- Architect Future-Proof AI Systems: Design and implement robust microservices architectures for large-scale LLM deployment and fine-tuning pipelines.
- Next-Gen Model Development: Spearhead research into Agentic workflows, multi-modal AI, and reinforcement learning agents.
- Optimization & Efficiency: Drive significant improvements in inference latency, throughput, and cost-efficiency using techniques like quantization and model distillation.
- AI Governance & Safety: Establish protocols for AI safety, fairness, and alignment to ensure responsible deployment of autonomous systems.
- Technical Leadership: Mentor a team of top-tier ML engineers and data scientists, fostering a culture of innovation and continuous learning.
- Infrastructure: Collaborate with DevOps teams to integrate AI models into CI/CD pipelines and cloud-native environments (AWS/GCP).
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Core Expertise: Deep proficiency in Python, PyTorch, or TensorFlow, with extensive experience building and deploying production-grade models.
- Specialized Knowledge: Strong understanding of Large Language Models (LLMs), Vector Databases (Pinecone, Milvus), and RAG (Retrieval-Augmented Generation) architectures.
- System Design: Proven experience in designing high-availability, distributed systems and microservices.
- Experience: 5+ years of professional experience in AI/ML engineering roles, with at least 2 years in a leadership or architect capacity.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for diverse stakeholders.