Senior AI Platform Architect

Transaction Network Services (TNS); Sheffield (TX); On-site; USD 150,000 - 250,000; Full time

Job summary

Transaction Network Services (TNS) is seeking a skilled engineer to build and operate a secure, production‑grade AI platform on AWS Bedrock. You will own model hosting, data residency decisions, and an orchestration layer that connects AI to our business data and lines of business.

The role emphasizes governance, cost discipline, and measurable value from AI deployments. You will collaborate across teams to embed AI capabilities, design retrieval and context management, and implement robust

Qualifications

• Hands-on experience building and deploying production AI/LLM applications (RAG, agents, tooling).
• Direct experience with a managed model platform in production; AWS Bedrock preferred.
• Ability to design secure, governed AI data flows and connections to enterprise systems.

Responsibilities

• Build and operate the secure, production-grade AI platform integrated with business lines.
• Own model hosting, access control, data residency decisions, and throughput planning.
• Develop the harness for prompts, tool calls, orchestration, retrieval, and guardrails.
• Design secure data connectivity to Microsoft 365, SharePoint, databases, APIs.
• Implement monitoring, observability, and cost attribution for AI workloads.
• Collaborate with security/governance teams to maintain auditable deployments.
• Drive adoption and generate measurable business value from AI solutions.

Skills

AI/LLM engineering

Production deployment

Cloud platforms

Model orchestration

Security & governance

Cost management

Tools

AWS Bedrock

IAM

VPC

CloudWatch

Job description

Transaction Network Services (TNS) is seeking a skilled engineer to build and operate a secure, production‑grade AI platform on AWS Bedrock. You will own model hosting, data residency decisions, and an orchestration layer that connects AI to our business data and lines of business.

The role emphasizes governance, cost discipline, and measurable value from AI deployments. You will collaborate across teams to embed AI capabilities, design retrieval and context management, and implement robust