✦ Luna Orbit — System Administration

AI Cloud Native Forward Deployed Engineer - Reinvention Center

at Accenture

📍 St. Pete, 140 Fountain Pkwy, Tampa Corp Hybrid 💰 $132K – $366K USD / year Posted April 14, 2026
Salary $132K – $366K USD / year
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category System Administration

Accenture seeks an AI Cloud Native Forward Deployed Engineer to design and deploy enterprise-ready AI agents. The role partners with clients to prototype, run, and improve agentic workflows using cloud-native architectures and strong observability and evaluation practices.

  • Design and engineer enterprise-ready AI agents with retrieval, orchestration, routing, tool invocation, evaluation, and lifecycle observability
  • Develop abstraction layers across AI providers (Anthropic, Google, OpenAI)
  • Build scalable systems using containerization, microservices, serverless, and event-driven architectures
  • Prototype and deploy agentic workflows with robust security and operational readiness
  • Define metrics for agent accuracy, latency, safety, and cost effectiveness

This role focuses on building agentic systems with retrieval, orchestration, policy-based routing, tool invocation, and evaluation harnesses, with lifecycle observability. The candidate will use abstraction layers across AI providers (Anthropic, Google, OpenAI) and deploy solutions using containerization, microservices, serverless, and event-driven architectures, while tracking accuracy, latency, safety, and cost metrics.

The ideal candidate is an AI Native Engineer who has built cloud-native solutions and designed/deployed enterprise agentic systems using retrieval, orchestration, tool invocation, and evaluation harnesses. They are comfortable working in hybrid environments, partnering with stakeholders to prototype and deploy secure AI agents, and measuring performance using accuracy, latency, safety, and cost metrics.

building cloud-native solutionsdesigning and deploying agentic systems for enterprise environmentsdesign and engineer enterprise-ready AI agents encompassing retrievalorchestrationpolicy-based routingtool invocationevaluation harnessesand lifecycle observabilitydevelop abstraction layers across AI providers (AnthropicGoogleOpenAI)leverage containerizationmicroservicesserverlessand event-driven architecturesdefine and use metrics to measure agent accuracylatencysafetyand cost effectiveness
Tailor and deploy agentic applications across industries such as financehealthcareand retailLeverage enterprise agentic tools such as GitHub CopilotClaude Codeand OpenAI Codex
AnthropicGoogleOpenAIGitHub CopilotClaude CodeOpenAI Codex
cloud-native solutionsagentic systemsretrievalorchestrationpolicy-based routingtool invocationevaluation harnesseslifecycle observabilitycontainerizationmicroservicesserverlessevent-driven architecturesmetricsagent accuracylatencysafetycost effectivenessGitHub CopilotClaude CodeOpenAI CodexSDLCAnthropicGoogleOpenAI
AI Native Engineercloud-native solutionsagentic systemsretrievalorchestrationpolicy-based routingtool invocationevaluation harnesseslifecycle observabilitycontainerizationmicroservicesserverlessevent-driven architecturesAI agent securitymetricsagent accuracylatencysafetycost effectivenessGitHub CopilotClaude CodeOpenAI CodexSDLCmetrics designproofs of conceptenterprise-ready AI agents
trusted advisorpartnering with stakeholdersthriving in ambiguityrapid prototypingdesign workshop facilitationcode-with sessionscross-functional collaborationdelivering concrete results
Industry Consulting
Job Function Design, build, and deploy secure, observable, cloud-native enterprise AI agent systems for client workflows.
Role Subtype AI Engineer
Tech Domains AI & Machine Learning, Azure, Google Cloud Platform, Amazon Web Services, Docker
AI Cloud Native Forward Deployed EngineerAI Native Engineercloud-nativeagentic systemsretrievalorchestrationpolicy-based routingtool invocationevaluation harnesseslifecycle observabilitycontainerizationmicroservicesserverlessevent-driven architecturesmetricsagent accuracylatencysafetycost effectivenessGitHub CopilotClaude CodeOpenAI CodexSDLCAnthropicGoogleOpenAI

Hands-on experience designing and deploying agentic systems for enterprise environments, Experience building cloud-native solutions (containerization, microservices, serverless, event-driven architectures)

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