Senior AI Infrastructure Engineer — Secure Cloud & Data (SF)

True Talent Solutions Partners; San Francisco (CA); On-site; USD 150,000 - 300,000; Full time

Job summary

True Talent Solutions Partners is seeking an experienced infrastructure/platform engineer to design scalable AI data-platform infrastructure for financial services. You will ensure security-focused private cloud deployments, data governance, and robust ingestion pipelines across multiple clouds.

You will collaborate with AI research and product teams to optimize model inference/training workloads and implement CI/CD/IaC practices for reliable multi-cloud deployments.

Qualifications

• 5–10 years in infrastructure or platform engineering, at senior level.
• Experience with cloud platforms (AWS/GCP/Azure) and Kubernetes at scale.
• Knowledge of data pipelines and ingestion systems.
• Security-minded with data governance experience in regulated industries.
• Familiar with observability tools (Datadog) and AI platforms (SageMaker/Bedrock).
• Understanding of SOC, SOX, GDPR or financial services regulations is a plus.
• Strong CS fundamentals in an engineering environment.

Responsibilities

• Design scalable infrastructure for an AI knowledge platform handling financial data.
• Build security-focused architecture for private cloud deployments and governance.
• Develop ingestion pipelines for financial data feeds and documents.
• Create monitoring and alerting systems for customer deployments.
• Implement access controls and audits tracing AI interactions to sources.
• Partner with AI research/product teams to optimize infra for model workloads.
• Establish CI/CD and IaC practices for deployments across cloud providers.

Skills

Cloud platforms

Kubernetes at scale

Data pipelines

Security governance

Observability (Datadog)

AI platforms (SageMaker/Bedrock)

Regulatory compliance

CS fundamentals

Tools

Datadog

SageMaker

Bedrock

Terraform

CI/CD

IaC

Job description

True Talent Solutions Partners is seeking an experienced infrastructure/platform engineer to design scalable AI data-platform infrastructure for financial services. You will ensure security-focused private cloud deployments, data governance, and robust ingestion pipelines across multiple clouds.

You will collaborate with AI research and product teams to optimize model inference/training workloads and implement CI/CD/IaC practices for reliable multi-cloud deployments.