Bridge local high-compute clusters and cloud AI services while maintaining a consistent security posture.
Use Docker and Kubernetes to orchestrate scalable inference and training environments, optimizing Graphics Processing Unit (GPU) utilization and resource isolation.
Protect model weights, secure data ingestion, and harden inference endpoints across the Machine Learning operations (MLOps) life-cycle.
Investigate and mitigate AI-specific threats (e.g., prompt injection, jailbreaking, data poisoning). Map testing findings to MITRE ATLAS, OWASP for LLMs, and STRIDE models.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
6 years of experience with cloud native architecture in a customer-facing or support role.
Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
Experience engaging with, or presenting to, technical stakeholders or executive leaders.
Experience in cloud migration or transformation projects in the Public Sector.
Experience in a technical pre-sales role (e.g., partner engineer, partner solution architect, solution architect, sales engineer, customer engineer, field application engineer).
Preferred qualifications
Experience deploying AI models on air-gapped or on-premises high-performance computing (HPC) systems.
Experience with Large Language Model (LLM) deployment frameworks such as vLLM, NVIDIA Triton, or Ollama and agent development.
Experience building long-term technical strategies to uncover new workloads with customers.
Familiarity with cloud-native AI services (e.g., cloud computing platform, Google Vertex AI).
Knowledge of Open Worldwide Application Security Project (OWASP) for LLMs or other security frameworks.
Bachelor's degree or equivalent practical experience.
6 years of experience with cloud native architecture in a customer-facing or support role.
Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
Experience engaging with, or presenting to, technical stakeholders or executive leaders.
Experience in cloud migration or transformation projects in the Public Sector.
Experience in a technical pre-sales role (e.g., partner engineer, partner solution architect, solution architect, sales engineer, customer engineer, field application engineer).
