Implement and maintain the LLM gateway (model routing, cost control, failover, rate limiting)
Develop internal SDK components, including agent abstractions, tool contracts, and memory/context interfaces
Build and maintain RAG ingestion pipelines for code repositories, documentation, and knowledge bases
Implement embeddings and vector store solutions with hybrid search (semantic + keyword)
Develop Knowledge Graphs and enterprise adapters (Git, Jira, Confluence)

Key requirements

Implement and maintain the LLM gateway (model routing, cost control, failover, rate limiting)
Develop internal SDK components, including agent abstractions, tool contracts, and memory/context interfaces
Build and maintain RAG ingestion pipelines for code repositories, documentation, and knowledge bases
Implement embeddings and vector store solutions with hybrid search (semantic + keyword)
Develop Knowledge Graphs and enterprise adapters (Git, Jira, Confluence)

Jobs at Accenture

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Jobs at Accenture

5 active roles from this employer in the JobMatcher catalog.

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About the role

GenAI Platform Engineer

Job summary: We are seeking a GenAI Platform Engineer to join the Accenture Technology team. You will build, operate, and scale enterprise-grade Generative AI platforms, working closely with the GenAI Platform Architect to deliver reliable, secure, and high-performing infrastructure that enables the development and execution of AI agents.

Responsibilities

Implement and maintain the LLM gateway (model routing, cost control, failover, rate limiting)
Develop internal SDK components, including agent abstractions, tool contracts, and memory/context interfaces
Build and maintain RAG ingestion pipelines for code repositories, documentation, and knowledge bases
Implement embeddings and vector store solutions with hybrid search (semantic + keyword)
Develop Knowledge Graphs and enterprise adapters (Git, Jira, Confluence)
Implement security controls such as output guardrails, sensitive data masking, RBAC, and prompt injection protection
Configure agent sandboxing and integrate identity systems (Azure AD / OAuth2)
Set up observability frameworks including dashboards, structured logging, and productivity reporting
Implement resilience mechanisms (circuit breakers, manual overrides, Human-in-the-Loop via Teams)
Develop evaluation benchmarks and continuous improvement feedback loops
Integrate CI/CD pipelines for automated deployment of agents (GitHub Actions, ArgoCD)
Integrate platform components with enterprise tools (Jira, Confluence, GitHub, Microsoft Teams

About the role

GenAI Platform Engineer

Job summary: We are seeking a GenAI Platform Engineer to join the Accenture Technology team. You will build, operate, and scale enterprise-grade Generative AI platforms, working closely with the GenAI Platform Architect to deliver reliable, secure, and high-performing infrastructure that enables the development and execution of AI agents.

Responsibilities

Implement and maintain the LLM gateway (model routing, cost control, failover, rate limiting)
Develop internal SDK components, including agent abstractions, tool contracts, and memory/context interfaces
Build and maintain RAG ingestion pipelines for code repositories, documentation, and knowledge bases
Implement embeddings and vector store solutions with hybrid search (semantic + keyword)
Develop Knowledge Graphs and enterprise adapters (Git, Jira, Confluence)
Implement security controls such as output guardrails, sensitive data masking, RBAC, and prompt injection protection
Configure agent sandboxing and integrate identity systems (Azure AD / OAuth2)
Set up observability frameworks including dashboards, structured logging, and productivity reporting
Implement resilience mechanisms (circuit breakers, manual overrides, Human-in-the-Loop via Teams)
Develop evaluation benchmarks and continuous improvement feedback loops
Integrate CI/CD pipelines for automated deployment of agents (GitHub Actions, ArgoCD)
Integrate platform components with enterprise tools (Jira, Confluence, GitHub, Microsoft Teams

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