AI Infrastructure Architect

Accenture

3–5 yrs Bengaluru Full Time Remote
Accenture logo
Posted : 3 Sept 2026

Job description

This role focuses on architecting and developing cutting-edge AI infrastructure solutions. You will be responsible for optimizing the performance, efficiency, and scalability of computational stacks for AI applications. The position involves advising on AI infrastructure technologies, vendor evaluations, selection, and seamless full-stack integration.

We seek an individual with a minimum of 3 years of experience in AI infrastructure. The role requires a strong understanding of agentic AI development and Google Cloud Platform services. A growth mindset and excellent problem-solving abilities are essential for success in this dynamic environment.

Responsibilities

Develop and deploy sophisticated AI agents utilizing Google Vertex AI Agent Builder, Gemini Enterprise Agentic Platform services, and Dialogflow CX.

Integrate advanced LLM-powered reasoning pipelines, incorporating Gemini, tool use patterns, Retrieval Augmented Generation (RAG), and memory patterns.

Build and maintain robust serverless orchestration using Cloud Run, Cloud Functions, and Pub/Sub.

Implement efficient APIs and microservices, leveraging Python and Node.js.

Seamlessly connect AI agents with enterprise systems and collaborate effectively within Agile sprints with ML engineers and product managers. Participate actively in code reviews and contribute to essential technical documentation.

Qualifications

Possess 3 to 5 years of hands-on software development experience, with a significant focus on Google Cloud Platform services like Vertex AI, Gemini Enterprise Agentic Platform, Cloud Run, Google Cloud Storage, Pub/Sub, and BigQuery.

Demonstrate working knowledge of LLM APIs and proficiency in prompt engineering fundamentals.

Exhibit strong command over Python and Node.js.

Familiarity with agentic frameworks such as ADK, LangChain, LangGraph, or CrewAI is advantageous.

Previous experience with RESTful API design, event-driven architectures, and CI/CD pipelines is required. A basic understanding of IAM, VPC, and GCP security best practices is also expected. Strong problem-solving skills and a growth mindset are crucial.

Essential Skills

Agent DevelopmentPythonNode jsGoogle Cloud Platform (GCP)Vertex AIGemini Enterprise Agentic PlatformCloud RunPub/SubLLM APIsPrompt EngineeringRESTful API DesignEvent-Driven ArchitecturesCI/CD Pipelines

Good to Have

Dialogflow CXGoogle Cloud StorageBigQueryADKLangChainLangGraphCrewAIIAMVPCGCP Security Best Practices

More Details

RoleAI Infrastructure Architect
Employment TypeFull Time, Remote

About the Company

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Accenture

IT Consulting

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