Job Description
Are you ready to define the technological landscape of 2026?
Horizon Dynamics is seeking a visionary Senior AI Architect to lead our research into next-generation generative models. In this pivotal role, you won't just be maintaining legacy systems; you will be architecting the foundational frameworks that will power our solutions through the 2026 market shift and beyond.
We are a fast-paced, forward-thinking tech firm based in the heart of Austin. We believe in pushing boundaries, and we need a leader who can bridge the gap between theoretical AI research and scalable production engineering.
Why Join Us?
- Work on cutting-edge projects that redefine user interaction.
- Competitive salary and equity package tailored for senior talent.
- Flexible remote-first culture with a collaborative office hub in Austin.
- Access to the latest hardware for large-scale model training.
Key Responsibilities:
- Design and implement robust AI architectures capable of handling enterprise-grade data loads.
- Lead a team of data scientists and ML engineers to deploy pre-2026 models.
- Oversee the full machine learning lifecycle, from data ingestion to model deployment.
- Collaborate with product teams to translate 2026 strategic goals into technical roadmaps.
- Ensure system scalability, security, and compliance with industry standards.
Qualifications:
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 7+ years of experience in machine learning, deep learning, or artificial intelligence.
- Proven expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP).
- Strong background in Natural Language Processing (NLP) or Computer Vision.
- Exceptional leadership skills with a track record of mentoring high-performing teams.
- Ability to thrive in a fast-paced, agile environment.
Responsibilities
- Design and implement robust AI architectures capable of handling enterprise-grade data loads.
- Lead a team of data scientists and ML engineers to deploy pre-2026 models.
- Oversee the full machine learning lifecycle, from data ingestion to model deployment.
- Collaborate with product teams to translate 2026 strategic goals into technical roadmaps.
- Ensure system scalability, security, and compliance with industry standards.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 7+ years of experience in machine learning, deep learning, or artificial intelligence.
- Proven expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP).
- Strong background in Natural Language Processing (NLP) or Computer Vision.
- Exceptional leadership skills with a track record of mentoring high-performing teams.
- Ability to thrive in a fast-paced, agile environment.