Cybersecurity AI LLM Technology Architect

About the role

Accenture is looking for an AI/LLM Architect focused on cybersecurity, based in Brussels. This is a hands-on, mid-level, full-time role where you spend most of your time designing and building AI systems for active client engagements, from classical machine learning and generative AI to agentic systems. You turn requirements into concrete architecture decisions and produce both software components and detailed architecture artifacts.

Key responsibilities

• Independently design, build and deliver software components across the AI architecture, owning them end to end
• Design and build AI agent architectures, including multi-agent orchestration, tool and skill use, and memory systems
• Implement agent orchestration patterns for task handoffs, communication, state management and error recovery
• Build and run evaluation strategies measuring accuracy, relevance and faithfulness
• Integrate foundation models via fine-tuning, RAG and custom integration, and build fine-tuning and adaptation pipelines
• Build the AI context layer: context graphs, ingestion pipelines, embeddings, vector storage and retrieval, and context assembly and memory components
• Design reusable components and solution patterns, and optimize cost, latency and throughput
• Implement security and responsible AI controls: guardrails, prompt-injection defenses, PII handling, access controls, versioning, audit logging and lineage tracking
• Add observability: logging, tracing, monitoring, alerting and cost tracking
• Produce architecture artifacts such as ADRs, architecture blueprints, design documents, diagrams and integration specifications
• Work with data engineers, ML engineers and application developers

Required profile

• Bachelor's degree or equivalent
• Proven experience designing and deploying AI/ML solutions using at least one cloud vendor as an AI/ML architect
• Experience in the agentic, LLM and generative AI space
• Professional experience architecting LLM-driven application patterns
• Minimum of 2 years of coding experience using Python
• Experience in the cybersecurity industry

Required skills

• Strong knowledge of coding, machine learning, deep learning and NLP
• AI/ML architecture and RAG pipelines
• Python