Job Description
We are on the precipice of a technological paradigm shift. In 2026, Artificial Intelligence will evolve beyond simple automation into autonomous agents capable of complex reasoning and execution. FutureCore Dynamics is seeking a visionary Principal AI Architect to lead this transformation.
You will be the architect of our next-generation operating system for AI. This role is not just about coding; it is about defining the ethical, technical, and operational standards for the future of human-machine collaboration.
If you are passionate about the singularity, self-learning algorithms, and the future of spatial computing, this is your opportunity to build the infrastructure of tomorrow.
Responsibilities
- Design and implement the core infrastructure for autonomous AI agents capable of multi-step reasoning and tool usage.
- Lead the technical strategy for integrating Large Language Models (LLMs) with real-time spatial data streams.
- Oversee the deployment of high-throughput, low-latency inference pipelines using Rust and Go.
- Establish best practices for AI safety, security, and ethical compliance in autonomous systems.
- Mentor a team of elite engineers and researchers to foster a culture of innovation.
- Collaborate with product leaders to translate 2026 roadmaps into executable technical architectures.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field (10+ years of experience required).
- Deep expertise in Machine Learning, specifically in Reinforcement Learning and LLM fine-tuning (RLHF).
- Proficiency in high-performance languages such as Rust, C++, or Python with Cython.
- Experience building distributed systems at scale using Kubernetes and microservices architecture.
- Strong understanding of vector databases (Pinecone, Milvus) and semantic search technologies.
- Familiarity with Web3 protocols and decentralized verification methods.