Job Description
Are you ready to define the technological landscape of 2026?
Horizon Systems is seeking a visionary Senior AI Architect to lead our cutting-edge research division. As we prepare for the paradigm shifts of the coming years, we need a technical leader who can bridge the gap between theoretical breakthroughs and scalable production systems. You will be instrumental in architecting the next generation of Generative AI and Autonomous Agents that will define our industry in 2026 and beyond.
In this role, you won't just write code; you will shape the future of human-computer interaction. We are looking for a builder who thrives in ambiguity and possesses the foresight to anticipate where the industry is heading five years from now.
Why Join Us?
- Work on projects that define the roadmap for the next decade.
- Competitive compensation package and equity options.
- Flexible remote-first policy with premium benefits.
Location: San Francisco, CA (On-site or Hybrid)
Responsibilities
- Architect and deploy scalable Large Language Model (LLM) pipelines designed for high-volume enterprise use cases.
- Lead the research and implementation of Reinforcement Learning from Human Feedback (RLHF) strategies to enhance model alignment and safety.
- Collaborate with cross-functional teams to integrate AI agents into complex software ecosystems.
- Optimize model inference latency and reduce computational costs by 30%+ through advanced quantization techniques.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Stay ahead of the curve by evaluating emerging technologies relevant to the 2026 technology stack.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related field.
- 8+ years of professional experience in software engineering, with at least 3 years focused on AI/ML.
- Deep expertise in Python, PyTorch, or TensorFlow.
- Proven track record of deploying production-grade models (e.g., Llama, GPT architectures).
- Strong understanding of NLP, vector databases, and retrieval-augmented generation (RAG).
- Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.