Job Description
Who We Are
At Horizon Dynamics, we are defining the future of technology for the year 2026 and beyond. We are building the world's most advanced Agentic AI infrastructure, empowering enterprises to automate complex workflows with autonomous agents. As we scale our operations, we are seeking a visionary Senior AI Architect to lead the technical vision of our next-generation Large Language Model (LLM) ecosystem.
The Role
You will be responsible for designing the architectural blueprint for our AI agents, ensuring scalability, security, and ethical compliance. You will bridge the gap between cutting-edge research and production-grade engineering, working closely with a world-class team of researchers and engineers.
What You'll Do
- Architect and deploy scalable Agentic AI systems capable of autonomous decision-making.
- Design and optimize pipelines for LLM fine-tuning and RAG (Retrieval-Augmented Generation) implementations.
- Lead the technical strategy for moving from static models to dynamic, context-aware AI agents.
- Implement robust guardrails and safety measures to ensure responsible AI deployment.
- Collaborate with product teams to translate 2026 roadmaps into technical specifications.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 8+ years of experience in machine learning, deep learning, or NLP.
- Proven expertise in designing and optimizing large-scale inference systems.
- Strong background in Python, PyTorch, TensorFlow, and distributed computing.
- Deep understanding of vector databases and semantic search architectures.
Benefits
Competitive compensation package, equity, remote-first flexibility, and continuous learning opportunities.
Responsibilities
- System Architecture: Design the core architecture for autonomous AI agents, ensuring high availability and low latency.
- Model Optimization: Implement quantization, pruning, and inference optimization techniques to reduce operational costs.
- Safety & Compliance: Develop and enforce safety protocols and alignment techniques for LLMs.
- Collaboration: Work cross-functionally with data scientists, frontend engineers, and product managers.
- Research Integration: Stay ahead of the curve on emerging AI trends, specifically focusing on the capabilities expected in 2026.
Qualifications
- Education: MS or PhD in Computer Science, Artificial Intelligence, or a related technical discipline.
- Experience: 7+ years of experience in software engineering with a strong focus on AI/ML.
- Technical Skills: Proficiency in Python, C++, or Rust; experience with frameworks like LangChain or LlamaIndex.
- Cloud Expertise: Deep knowledge of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Problem Solving: Ability to tackle complex, unstructured problems with innovative engineering solutions.