✦ Luna Orbit — AI & Machine Learning

AI Native Software Engineering Senior Manager-Associate Director

at Accenture

📍 St. Pete, 140 Fountain Pkwy, Tampa Corp Hybrid 💰 $132K – $302K USD / year Posted March 31, 2026
Salary $132K – $302K USD / year
Type Full-Time
Experience senior
Exp. Years Minimum of 10 years
Education Bachelor's degree in Computer Science, Engineering, or equivalent experience.
Category AI & Machine Learning

Senior AI-native software engineering leadership role at Accenture to design and deliver enterprise-grade agentic AI solutions. You will lead client engagements, architect agentic workflows across providers, and scale AI-native systems in hybrid enterprise environments.

  • Design and engineer enterprise-ready AI agents (retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, lifecycle observability)
  • Develop abstraction layers across AI providers (Anthropic, Google, OpenAI) to enable seamless integration
  • Leverage containerization, microservices, serverless, and event-driven architectures to deliver scalable AI-native systems
  • Tailor and deploy agentic applications across industries such as finance, healthcare, and retail
  • Conduct design workshops, proofs of concept, and code-with sessions with client stakeholders

Design enterprise-ready AI agents with retrieval, orchestration, and policy-based routing; build abstraction layers across OpenAI/Anthropic/Google Vertex AI; leverage containerization, microservices, serverless, and event-driven architectures with IaC, CI/CD, and observability tooling.

The ideal candidate is a senior AI-native software engineer with 10+ years building cloud-native systems, strong experience deploying agentic AI solutions, and a track record leading client-facing AI initiatives across enterprise environments.

Minimum of 10 years of experience building cloud-native systems including APIsmicroservicesand serverless architectures.Minimum 1 year of experience designing and deploying agentic AI solutions in production environments.Minimum of 1 year of experience with agentic orchestration tools such as LangGraphCrewAIAutoGenor similar frameworks.Experience deploying and operating production systems with CI/CDinfrastructure as codeand observability tooling.Bachelor's degree in Computer ScienceEngineeringor equivalent experience.
Experience with containerization technologiesExperience with OpenAI CodexKubernetes familiarityAzure / AWS / Google Cloud experience
GitHub CopilotClaude CodeOpenAI Codex
cloud-nativeAPIsmicroservicesserverlessagentic AIagentic workflowsretrievalorchestrationpolicy-based routingtool invocationevaluation harnesseslifecycle observabilityCI/CDinfrastructure as codeIaCOpenAIClaude CodeOpenAI CodexAnthropicVertex AILangGraphCrewAIAutoGenPythonJava
cloud-nativeAPIsmicroservicesserverlesscontainerizationagentic workflowsagentic AIretrievalorchestrationpolicy-based routingtool invocationevaluation harnesseslifecycle observabilityAnthropicGoogle Vertex AIOpenAIopen-source modelsPythonJavaCI/CDinfrastructure as codeIaCobservability toolingLangGraphCrewAIAutoGenGitHub CopilotClaude CodeOpenAI Codex
leadershipstakeholder managementcommunicationteam collaborationproblem-solving
Industry Consulting
Job Function Lead enterprise AI-native software engineering initiatives delivering agentic AI solutions
Role Subtype Senior AI Engineer
Tech Domains Python, Java, APIs, Docker, Kubernetes, Microsoft Azure, Google Cloud Platform, Amazon Web Services, SQL / PostgreSQL, CI/CD
agentic workflowscloud-nativeAPIscontainerizationmicroservicesserverlessevent-driven architecturesCI/CDinfrastructure as codeIaCOpenAIClaude CodeOpenAI CodexAnthropicVertex AILangGraphCrewAIAutoGenPythonJavaretrievalorchestrationobservabilityGitHub Copilot

Bachelor's degree required, 10+ years of experience building cloud-native systems, Must have experience with agentic AI solutions and LangGraph/CrewAI/AutoGen

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