Job Description
Are you ready to define the technological landscape of 2026? Apex Horizon Systems is seeking a visionary Strategic AI Architect to spearhead our next-generation intelligence initiatives. In this pivotal role, you will bridge the gap between theoretical AI research and scalable enterprise solutions, ensuring our roadmap is not just current, but future-proof.
We are looking for a leader who thrives in ambiguity and possesses an unwavering commitment to excellence. You will work alongside the brightest minds in the industry to deploy cutting-edge machine learning models that will redefine our product ecosystem.
Why Join Us?
- Competitive compensation and equity packages.
- Flexible hybrid work environment in the heart of Austin.
- Access to state-of-the-art hardware and cloud infrastructure.
Join us in building the future of intelligent systems.
Responsibilities
- Lead 2026 Roadmap Execution: Define and execute the technical strategy for our core AI products, ensuring alignment with the 2026 vision.
- System Architecture: Design robust, scalable, and secure neural network architectures capable of handling high-volume data streams.
- Model Optimization: Oversee the training and fine-tuning of Large Language Models (LLMs) and generative AI tools to maximize performance and accuracy.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to translate complex technical concepts into actionable business requirements.
- Mentorship: Foster a culture of continuous learning, providing technical guidance and mentorship to junior engineers and data scientists.
- Research Integration: Stay ahead of industry trends by integrating emerging research findings into our production pipelines.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: Minimum of 5+ years of professional experience in software engineering, with at least 3 years specifically focused on AI/ML architecture.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and SQL. Experience with cloud platforms (AWS/GCP/Azure) is essential.
- Problem Solving: Demonstrated ability to solve complex engineering problems and optimize system latency.
- Communication: Exceptional verbal and written communication skills, capable of presenting technical strategies to non-technical stakeholders.
- Agile Mindset: Experience working in fast-paced, agile environments with a focus on rapid iteration and delivery.