Job Description
We are building the operating system for the future. As we approach the pivotal year of 2026, Nexus Core Systems is seeking a visionary Senior AI Architect to lead the next evolution of autonomous intelligence. This is not just a job; it is an opportunity to architect the synthetic neural networks that will define the next decade of human-machine collaboration.
In this high-impact role, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will be responsible for designing the infrastructure that supports next-generation Agentic AI and multimodal large language models. If you are passionate about the trajectory of AI and want to influence the standards of 2026 and beyond, we want to hear from you.
Why Join Us?
- Future-First Technology: Work on cutting-edge projects that are redefining the boundaries of generative AI.
- Competitive Compensation: Base salary between $180k and $250k, plus substantial equity and performance bonuses.
- Premium Benefits: Comprehensive health coverage, unlimited PTO, and a continuous learning stipend.
Responsibilities
- Design and implement scalable architectures for Autonomous Agents capable of complex reasoning and task execution.
- Lead the integration of Multimodal AI systems, combining text, vision, and audio data streams seamlessly.
- Optimize Transformer models for reduced latency and increased inference speed on edge devices.
- Establish best practices for AI Safety and Alignment, ensuring ethical deployment of generative models.
- Collaborate with cross-functional teams to translate business requirements into technical AI roadmaps.
- Conduct research on emerging paradigms in Reinforcement Learning from Human Feedback (RLHF).
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 5+ years of professional experience building production-grade machine learning systems.
- Deep expertise in PyTorch and TensorFlow, with a strong understanding of distributed training frameworks.
- Proven track record of deploying Large Language Models (LLMs) to high-traffic environments.
- Strong grasp of Software Engineering principles, including microservices and containerization (Docker/Kubernetes).
- Experience with Vector Databases (e.g., Pinecone, Milvus) and RAG architectures.