Job Description
We are seeking a visionary Next-Gen AI Infrastructure Architect to spearhead the technological roadmap for our 2026 expansion. In this pivotal role, you will define the architectural standards for our next-generation artificial intelligence systems, ensuring scalability, security, and performance.
As we prepare for the next era of digital transformation, you will be responsible for designing resilient, high-performance systems that integrate cutting-edge AI models with our core enterprise infrastructure. If you are passionate about the future of technology and want to build the foundations for 2026 and beyond, we want to hear from you.
Responsibilities
- Design and implement scalable machine learning infrastructure pipelines and data architectures.
- Lead the architectural strategy for integrating Large Language Models (LLMs) into production environments.
- Ensure system reliability, fault tolerance, and high availability across distributed cloud ecosystems.
- Collaborate with cross-functional teams to define technical requirements and best practices.
- Mentor junior engineers and foster a culture of innovation and continuous learning.
- Conduct performance tuning and cost optimization for AI workloads.
- Oversee security protocols to protect sensitive data within AI systems.
Qualifications
- 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML infrastructure.
- Deep expertise in Python, TensorFlow, PyTorch, and Kubernetes.
- Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies.
- Experience with MLOps tools (MLflow, Kubeflow) and data orchestration (Airflow, Kafka).
- Excellent problem-solving skills with a focus on distributed systems and microservices.
- Strong communication skills with the ability to translate complex technical concepts for diverse stakeholders.
- Master’s degree in Computer Science, Engineering, or a related field is preferred.