Cloud Agentic AI Platform Engineer / Architect

NTT
Charlotte
Workplace: RemoteFull timeUSD 102,675 - 175,125 annuallyFunction: DevOps, Cloud & InfrastructureSkills: ["Architecture and technical design decisions","Engineering leadership"]

Design, build, and scale enterprise-grade agentic AI platforms that enable intelligent automation and autonomous workflows. Define foundational platform capabilities—agent runtimes, orchestration frameworks, developer tooling, platform services, observability, governance, and resilient cloud infrastructure. Partner with teams to deliver production-ready, reusable capabilities for accelerating AI adoption, leveraging cloud-native architectures, distributed systems, and modern agent ecosystems.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NTT
NTT
5 days ago

Cloud Agentic AI Platform Engineer / Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Design, build, and scale enterprise-grade agentic AI platforms that enable intelligent automation and autonomous workflows. Define foundational platform capabilities—agent runtimes, orchestration frameworks, developer tooling, platform services, observability, governance, and resilient cloud infrastructure. Partner with teams to deliver production-ready, reusable capabilities for accelerating AI adoption, leveraging cloud-native architectures, distributed systems, and modern agent ecosystems.
Location: Charlotte
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Define and implement foundational platform capabilities that support agent runtimes, orchestration frameworks, and platform services.
  • •Build and scale reusable, production-ready agentic AI platform components that accelerate AI adoption across application teams.
  • •Design cloud-native architectures using distributed systems patterns, microservices, and event-driven systems for scalable operations.
  • •Develop and enable developer tooling, SDKs, and self-service experiences including low-code/no-code workflow automation.
  • •Establish observability, governance, security guardrails, identity management, and resilient production operations for enterprise AI agents.

Pay and Benefits

Salary: USD 102,675 - 175,125 annually
Perks:Health InsuranceDentalVision401kPaid LeaveLife InsuranceDisability Insurance

Key Requirements

  • •10+ years of software engineering and cloud platform engineering/platform architecture experience.
  • •5+ years leading large-scale cloud-native platform initiatives and delivering production-grade AI/GenAI/Agentic AI platforms at enterprise scale.
  • •5+ years designing and building enterprise-scale agentic AI platforms including agent runtimes, orchestration engines, developer frameworks, and platform services.
  • •5+ years hands-on with hyperscaler agentic AI offerings such as Google ADK/Agent Engine, Vertex AI, Azure AI Foundry, AWS Bedrock Agents, and MCP ecosystems.
  • •5+ years strong DevOps and platform engineering experience including CI/CD, GitOps, Terraform, containerization, release automation, and monitoring/observability.
Experience:Enterprise-scaleAgentic AIGenAICloud-nativeDistributed systems
Skills:Architecture and technical design decisionsEngineering leadership
Tech Stack:PythonJavaKubernetesOpenShiftMicroservicesAPIsEvent-driven systemsDistributed platformsGoogle ADKAgent EngineVertex AIAzure AI FoundryAWS Bedrock AgentsMCP ecosystemsLLMsReasoning modelsTool callingAgent frameworksRAGModel evaluation

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn