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Accenture

Advises businesses and runs their technology

GenAI Platform Architect

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Expert-level experience in AI/ML solution architecture in enterprise environments.
  • Strong proficiency in Azure Cloud; Azure AI Foundry is preferred, or equivalent experience with AWS Bedrock or Vertex AI.
  • Deep knowledge of large language models, including OpenAI, Anthropic Claude, and Mistral, and their operational characteristics.
  • Proven experience with retrieval-augmented generation and Agentic RAG, including chunking, embeddings, and vector stores such as Azure AI Search and pgvector.
  • Hands-on experience with orchestration frameworks including LangChain, LangGraph, Semantic Kernel, and Microsoft Agent Framework.
  • Strong programming skills in Python and a solid understanding of SOLID principles and design patterns for AI systems.
  • Experience with event-driven architecture and API integrations using REST or GraphQL.
  • Knowledge of Kubernetes and DevOps/MLOps practices, including Docker, Terraform, GitHub Actions, and Azure DevOps.
  • Strong understanding of security, governance, and compliance in AI systems.
  • Fluent or native-level Portuguese.

Responsibilities

  • Define and own the end-to-end agentic architecture, covering the agent platform, data and knowledge, security and compliance, governance, human oversight, and enterprise integration.
  • Design internal software development kits and API contracts to ensure modularity, scalability, and extensibility.
  • Select and justify the technology stack, including the LLM gateway, orchestrator, vector store, and cloud platform.
  • Define integration strategies with enterprise systems including Jira, Confluence, GitHub, Teams, and CI/CD pipelines.
  • Evaluate multi-agent versus single-agent approaches and document architecture decisions.
  • Ensure compliance by design with the EU AI Act and implement security controls, including guardrails, role-based access control, data masking, audit trails, and prompt-injection protection.
  • Define identity management using Azure Active Directory or OAuth2, agent sandboxing, and human-in-the-loop policies.
  • Lead red-teaming exercises and establish risk and intellectual property governance frameworks.
  • Implement quality gates across the agentic software development lifecycle and define success metrics, including return on investment, cycle time, automation coverage, and compliance service-level agreements.
  • Oversee observability frameworks, including dashboards, logging, and productivity reporting.
  • Mentor and guide GenAI Platform Engineers and Agentic Engineers.
  • Collaborate with Product Owners and stakeholders to prioritize technical backlogs.
  • Act as the senior technical authority in key client decision-making moments.

Desired Qualifications

  • Experience with Azure AI Foundry is preferred; equivalent technologies include AWS Bedrock and Vertex AI.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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