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Accenture

Advises businesses and runs their technology

Decision Science Practitioner Analyst - Multiple Teams

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 2 years of hands-on work in AI/ML, data science, Generative AI or related engineering.
  • A bachelor's or master's degree in Computer Science, AI, Data Science, Statistics, Applied Mathematics, Engineering or a related field.
  • Hands-on skills in Python, SQL, Generative AI/large language models, agentic AI fundamentals, retrieval-augmented generation and API integration.
  • Knowledge of JSON, REST APIs, software engineering practices, prompts, agent workflows and tool calling.
  • Knowledge of embeddings, vector search, enterprise knowledge ingestion and at least one vector database or search service.
  • Familiarity with Azure and/or AWS, testing, data security and Responsible AI practices.
  • Candidates should be able to explain the business problem addressed by their AI solution, their contribution and how the solution was tested.

Responsibilities

  • Develop large-language-model-powered assistants and agent workflows, including prompts, tool calls and API integrations, with guidance from senior team members.
  • Build retrieval-augmented generation components to retrieve relevant information from enterprise documents and data using embeddings, metadata and vector search.
  • Contribute to agent workflow design and orchestration using LangGraph or similar frameworks where appropriate.
  • Support evaluation of outputs and workflows using representative test cases for relevance, groundedness, task success and basic performance measures.
  • Use logs and traces to investigate issues and help improve response quality and reliability.
  • Follow project standards for data access, sensitive information and Responsible AI, and support guardrails and human review where needed.
  • Contribute to AI solutions on Azure and/or AWS using relevant managed AI and data services under project guidance.
  • Support deployment, monitoring and secure handling of credentials and access according to project standards.
  • Develop Python components and REST API integrations to connect AI applications with enterprise systems and data sources.
  • Use Git, modular code, basic tests, logging, reviews and documentation; collaborate across teams and assist with deployment.

Desired Qualifications

  • Exposure to MCP, A2A, multi-agent design, agent memory, GraphRAG or multimodal applications.
  • Experience with LangGraph, LangChain or similar frameworks, evaluation and tracing tools, Docker or CI/CD.
  • Working knowledge of scikit-learn, PyTorch or TensorFlow and decision science applications in marketing, sales, supply chain or customer experience.
  • Experience working with Hi-Tech clients or cross-functional stakeholders.

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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