Job Description
Are you ready to define the technology landscape of 2026?
Apex Horizon Systems is seeking a visionary Lead AI Architect to spearhead our next-generation infrastructure. In this pivotal role, you will bridge the gap between theoretical generative models and scalable production environments. We are not just building software for today; we are architecting the cognitive frameworks that will power enterprise decision-making five years from now.
As a key driver of our strategic roadmap, you will lead a team of elite engineers in deploying Large Language Models (LLMs) and integrating quantum-ready algorithms. If you thrive in high-stakes environments and have a passion for the bleeding edge of artificial intelligence, we want to meet you.
Responsibilities
- Architect and deploy scalable AI infrastructure designed for the technological demands of 2026 and beyond.
- Lead the design and implementation of Generative AI pipelines, ensuring high performance and ethical standards.
- Collaborate with cross-functional teams to translate complex business requirements into cutting-edge technical solutions.
- Mentor senior engineers and architects, fostering a culture of innovation and continuous learning.
- Oversee the integration of next-gen hardware accelerators (e.g., TPU/NPU clusters) into our cloud architecture.
- Define and enforce best practices for data privacy, security, and model explainability in AI systems.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and modern cloud platforms (AWS/GCP/Azure).
- Proven track record of deploying large-scale LLMs in production environments.
- Experience with MLOps, CI/CD pipelines, and containerization technologies (Docker/Kubernetes).
- Strong understanding of neural network optimization and distributed computing.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.