Job Description
We are seeking a visionary Senior AI Architect to lead our Vision 2026 initiative. At Apex Horizon Tech, we are building the infrastructure for the next decade of artificial intelligence. In this pivotal role, you will define the technical roadmap, drive architectural decisions, and mentor a team of elite engineers to deliver breakthrough AI solutions.
As we approach the year 2026, the demand for autonomous systems and predictive analytics is exploding. We need a leader who can bridge the gap between theoretical research and scalable production engineering.
Why Join Us?
- Impactful Work: Directly influence the future of AI infrastructure.
- Competitive Compensation: Top-tier salary and equity package.
- Remote-First Culture: Work with the best talent from anywhere in the US.
Responsibilities
- Define and execute the technical strategy for the Vision 2026 product roadmap, ensuring alignment with business objectives.
- Design scalable, secure, and high-performance AI systems using modern cloud architectures (AWS, GCP, Azure).
- Lead architecture reviews and technical decision-making processes for complex machine learning pipelines.
- Mentor and develop a high-performing team of ML engineers and data scientists.
- Collaborate with product managers and stakeholders to translate business requirements into technical specifications.
- Stay ahead of industry trends, specifically focusing on Generative AI and Quantum Computing integration.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years specifically in Artificial Intelligence and Machine Learning architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
- Proven track record of leading large-scale distributed systems and cloud deployments.
- Strong understanding of MLOps, data pipelines, and model deployment strategies.
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field is highly preferred.
- Excellent communication skills with the ability to present complex technical concepts to non-technical stakeholders.