2+ years of experience designing, deploying, or securing AI/ML pipelines, such as training, inference, or monitoring
5+ years of experience in cybersecurity, systems architecture or software engineering, and AI/ML solution design
4+ years of experience supporting DoD, Intelligence Community, or federal civilian missions
Experience with Machine Learning orchestration and serving platforms, such as SageMaker, Vertex AI, MLflow, or Kubeflow
Experience with LLM platforms and APIs, such as OpenAI, Anthropic, Azure Open AI, or AWS Bedrock
Experience implementing AI security controls, such as data provenance, model integrity, and supply chain, and integrating AI into operational workflows, such as SOC automation, threat detection, and analytics
TS/SCI clearance
Experience with Machine Learning frameworks, such as TensorFlow, PyTorch, Scikit-Learn, or Hugging Face
Knowledge of AI governance, DoD Responsible AI, and federal compliance
HS diploma or GED
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required

Sr. WW Specialist, Advanced Computing Architectures, Advanced Computing

Amazon

Arlington, VA 22201

Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent
Experience with cloud computing concepts and architectures, particularly as they relate to compute-intensive workloads.
5+ years of experience working with Advanced Compute technologies including, but not limited to, High Performance Computing (HPC), accelerated computing (GPUs, custom silicon), and/or parallel and distributed computing architectures.
Knowledge of HPC orchestrators, job schedulers, and cluster management frameworks (e.g., Slurm, PBS, AWS PCS, AWS Batch, or equivalents).
5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
5+ years of experience explaining complex technical concepts to both technical and non-technical executive audiences.