Job Description
We are at the forefront of the next technological revolution, building the intelligent infrastructure for a 2026-ready world. Apex Neural Dynamics is seeking a visionary Senior AI Systems Architect to lead the development of next-generation Generative AI and Agentic Workflows. You will be responsible for architecting scalable, secure, and high-performance systems that push the boundaries of Large Language Models (LLMs) and autonomous agents.
In this pivotal role, you will bridge the gap between cutting-edge research and production-grade engineering, ensuring our solutions are not just capable today, but resilient and intelligent for tomorrow.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement robust, scalable architectures for Generative AI models, focusing on autonomous agents and multi-agent collaboration frameworks.
- Model Optimization & Inference: Optimize LLM inference pipelines for low latency and high throughput, utilizing techniques like quantization, pruning, and knowledge distillation.
- System Integration: Integrate complex AI capabilities into existing software ecosystems using APIs, microservices, and event-driven architectures.
- Research & Innovation: Stay ahead of the curve in AI trends, evaluating and implementing emerging technologies (e.g., diffusion models, reinforcement learning from human feedback) to drive product differentiation.
- Collaboration: Work closely with data scientists, ML engineers, and product managers to translate complex AI capabilities into user-centric solutions.
- Security & Compliance: Implement rigorous security protocols and ethical AI guidelines to ensure data privacy and model integrity.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML systems architecture.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong understanding of transformer architectures and LLMs.
- System Design: Proven track record of designing distributed systems capable of handling high-scale data processing and complex AI workloads.
- Problem Solving: Exceptional ability to troubleshoot complex technical challenges and optimize system performance.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.