Job Description
Are you ready to build the infrastructure of tomorrow? Apex Systems Inc. is seeking a visionary Senior AI Architect to spearhead our 2026 Horizon Initiative. We are at the forefront of integrating advanced generative models with next-generation cloud infrastructure, and we need a technical leader to define the blueprint for the future.
In this pivotal role, you will not just deploy models; you will architect the ecosystem in which they thrive. You will work closely with our R&D teams to transition cutting-edge research into scalable production systems that redefine industry standards. If you are passionate about the intersection of deep learning, system architecture, and the future of technology, this is your opportunity to lead the charge.
Key Highlights:
- Shape the Future: Directly influence the technical roadmap for the 2026 product cycle.
- High Impact: Work on high-scale problems that affect millions of users globally.
- Elite Team: Collaborate with world-class engineers and data scientists.
Responsibilities
- Design and implement scalable, fault-tolerant AI systems architecture aligned with the 2026 strategic vision.
- Lead the end-to-end ML lifecycle, from model prototyping to deployment and monitoring at scale.
- Define best practices for MLOps, CI/CD pipelines, and infrastructure-as-code.
- Mentor senior engineers and foster a culture of technical innovation and continuous learning.
- Collaborate with product managers to translate complex business requirements into technical solutions.
- Optimize existing neural network architectures for improved inference speed and reduced latency.
- Ensure the security, privacy, and ethical compliance of all deployed AI models.
Qualifications
- Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related technical field.
- 7+ years of experience in software engineering and machine learning engineering.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Proven experience architecting systems for Large Language Models (LLMs) and Generative AI.
- Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
- Experience leading cross-functional teams and managing technical roadmaps.
- Exceptional problem-solving skills and a track record of delivering complex projects on time.