AI Large Language Model (LLM) Engineer

About the role

Accenture is looking for an AI Large Language Model (LLM) Engineer in Brussels, described as an early-career, full-time position. You will design and build the components of advanced AI systems used in enterprise settings, spending most of your time in detailed design, development, integration and testing of AI components across classical machine learning, generative AI and agentic systems, within active client engagements.

Key responsibilities

• Design, build and configure individual agents (prompts, tools, skills) and integrate them into multi-agent workflows, including orchestration logic for task handoffs, communication and error recovery.
• Build evaluation harnesses and test suites measuring accuracy, relevance and faithfulness.
• Integrate foundation models into applications and build fine-tuning pipelines, including data preparation and training.
• Build ingestion pipelines that parse, chunk, enrich and index unstructured content, and implement embedding generation, vector databases and retrieval components for RAG pipelines.
• Implement memory components, input/output guardrails, content filtering, PII detection and redaction, and access controls.
• Implement versioning, audit logging, lineage tracking and model documentation.
• Instrument components with logging and tracing, and contribute to monitoring, alerting and cost tracking.
• Write and maintain technical documentation, and collaborate with data engineers, ML engineers and application developers under the guidance of lead and principal architects.

Required profile

• Bachelor's degree in Computer Science, Computer Engineering, Data Science or a related engineering discipline.
• Experience (work or coursework) designing and coding advanced AI solutions using agentic, generative and classical AI/ML with at least one cloud vendor.
• Experience architecting and operationalizing LLM-driven application patterns.
• Experience coding and engineering machine learning, deep learning and NLP solutions.

Required skills

• Coding experience using Python.
• Hands-on curiosity for the open source ecosystem, evaluating and adopting libraries for agent orchestration, vector storage, model serving and ML pipelines.
• Ability to configure, integrate and operationalize third-party AI technologies and platform services.