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Location
Hybrid (Lisbon, Portugal)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Sep 8, 2026. Accenture scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Accenture is a professional services company that began as the consulting arm of the accounting firm Arthur Andersen, separated as Andersen Consulting in 1989 and took its present name in 2001. It is one of the largest technology services organisations in the world, employing well over seven hundred thousand people and running strategy, consulting, technology, operations and industry work for most of the Fortune Global 500. Incorporated in Dublin and built on a delivery network concentrated in India and the Philippines, it has reoriented around cloud migration, cybersecurity and generative AI, which it now books as a distinct multi-billion dollar revenue line.

Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for your business. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialized skills and tailored solutions.

Job Summary

We are seeking a highly qualified professional to join our team as a GenAI / Agentic Engineer. As an essential part of our team, you will be responsible for developing, testing, deploying, and continuously improving Generative AI agents for Software Development Lifecycle (SDLC) and business process use cases. We are looking for a hands-on professional with strong expertise in Python, agentic frameworks, prompt engineering, LLM APIs, RAG, and enterprise integrations.

Qualifications

  • Professional experience developing solutions with Python
  • Strong software engineering practices, including clean code, modular design, testing, and version control
  • Hands-on experience with agent development frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent
  • Experience integrating LLM APIs, including Azure OpenAI, Anthropic Claude, or equivalent services
  • Practical knowledge of RAG concepts, including chunking, embeddings, semantic search, hybrid search, and vector indexing
  • Experience integrating REST APIs and enterprise systems such as Git, Jira, Confluence, and Microsoft Teams
  • Knowledge of prompt engineering and context management for Generative AI applications
  • Basic knowledge of Docker and CI/CD practices using GitHub Actions, Azure DevOps, or equivalent tools
  • Ability to develop prototypes independently and evolve them into production-ready solutions
  • Strong analytical, troubleshooting, and communication skills
  • Ability to collaborate effectively with architects, engineers, product teams, and business stakeholders
  • Fluency in Portuguese and English B1

Responsibilities

  • Develop AI agents according to the designs, technical standards, and interface contracts defined by the Agentic Architect
  • Build and optimize system prompts, few-shot examples, tool instructions, and agent reasoning workflows
  • Integrate agents with external tools and APIs through tool use and function calling
  • Implement short-term and long-term memory mechanisms and manage session context
  • Build automated agent evaluations using golden datasets, regression tests, and LLM-as-a-judge techniques
  • Develop supporting backend components, including REST or SOAP endpoints, Azure Functions, and event processors
  • Integrate agents with Azure OpenAI, Azure AI Foundry, Azure AI Search, and enterprise applications
  • Implement RAG ingestion pipelines covering chunking, embeddings, indexing, and retrieval
  • Collaborate with Backend and Integration Engineers to define and consume secure API contracts
  • Perform functional, integration, security, and regression testing for AI agents
  • Participate in quality gates, including code reviews, output validation, and security analysis
  • Deploy agents through CI/CD pipelines and monitor their behavior in production
  • Document agent inputs, outputs, dependencies, limitations, escalation strategies, and operational requirements

Nice to Have

  • Experience with Azure AI Foundry, Azure AI Search, or Azure Functions
  • Knowledge of MCP (Model Context Protocol) and tool integration standards

Additional Information

  • Location: Lisbon or Porto
  • Working Model: Hybrid

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

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