Senior AI Platform Architect

Transaction Network Services (TNS); Arizona; Presencial; USD 180.000 - 240.000; Jornada completa

Descripción de la vacante

Transaction Network Services (TNS) seeks an expert to design, build, and operate a secure, production‑grade AI platform on AWS Bedrock. You’ll own model hosting, data connectivity, access control, and cost management, collaborating with business lines to turn AI capabilities into measurable value.

You will implement governance, monitoring, and reusable foundations, embed with lines of business, and drive adoption through champions across the enterprise.

Formación

• Experience building production AI/LLM platforms.
• Direct experience with a managed model platform (AWS Bedrock preferred).
• Ability to design secure data connectivity and governance across enterprise systems.
• Familiarity with identity, access management, data protection, and monitoring.

Responsabilidades

• Build and operate the AI platform, including model hosting and orchestration.
• Develop and maintain the data connectivity between AI systems and enterprise data.
• Design and enforce security and access controls across identity, network, and data layers.
• Implement monitoring, observability, and cost-management dashboards and alerts.
• Drive reusable foundations and guardrails to accelerate future use cases.
• Partner with business lines to deploy AI solutions that deliver measurable value.
• Lead a forward‑deployed engineering approach embedding AI capabilities across the organization.

Conocimientos

Production AI/LLM apps

RAG & agents

AWS Bedrock expertise

Security & governance

Data connectivity

Monitoring & observability

Cost management

Performance optimization

Herramientas

AWS Bedrock

IAM

VPC

KMS

CloudWatch

PrivateLink

Descripción del empleo

Transaction Network Services (TNS) seeks an expert to design, build, and operate a secure, production‑grade AI platform on AWS Bedrock. You’ll own model hosting, data connectivity, access control, and cost management, collaborating with business lines to turn AI capabilities into measurable value.

You will implement governance, monitoring, and reusable foundations, embed with lines of business, and drive adoption through champions across the enterprise.