Job Description
We are seeking a visionary Senior GenAI Architect to lead our strategic roadmap for 2026. At Apex Future Systems, we are building the infrastructure for the next decade of artificial intelligence. You will define how Large Language Models (LLMs) evolve to become more autonomous, efficient, and deeply integrated into enterprise workflows.
In this pivotal role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our systems are scalable and secure.
Responsibilities
- Lead the architectural design and development of Autonomous AI Agents capable of complex, multi-step reasoning and task execution.
- Optimize LLM inference latency and cost-efficiency for real-time applications targeting the 2026 landscape.
- Establish best practices for RAG (Retrieval-Augmented Generation) and Vector Database architecture.
- Mentor a team of ML engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with product leaders to translate future user needs into concrete technical specifications.
- Implement rigorous testing and evaluation frameworks to ensure model safety and alignment.
Qualifications
- PhD or Masters in Computer Science, Machine Learning, or a related technical field.
- 10+ years of experience in software engineering with at least 5 years focused on AI/ML infrastructure.
- Deep expertise in Python, PyTorch, and modern Deep Learning frameworks.
- Proven track record of deploying and scaling large-scale Generative AI models in production environments.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and MLOps pipelines.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.