Senior AI Architect: LLMs, Agents & Gen AI

Accenture Belgium; Brussel; On-site; EUR 90,000 - 120,000; Full time

Job summary

Accenture Belgium seeks a hands-on AI Engineer to design, develop, integrate, and test AI components across traditional ML, Generative AI, and agentic systems within client engagements. You will transform architectures into production-ready software and build agent logic, tools, memory, and integration points.

You will champion security, observability, governance, and scalable enterprise-grade components, collaborating with Data Engineers, ML Engineers, and Application Developers, documenting

Qualifications

• Bachelors degree in Computer Science, Computer Engineering, Data Science, or an equivalent engineering discipline.
• Experience in the design, development, and implementation of AI solutions combining Agentic AI, Generative AI, and traditional ML on at least one cloud platform.
• Experience with LLMS, GenAI, and deploying LLM-based application architectures into production.

Responsibilities

• Design, develop, and configure agents and multi-agent workflows with prompts, tools, and skills.
• Implement agent orchestration logic, memory components, and prompt management for enterprise use cases.
• Integrate foundation models, RAG pipelines, and model serving into production systems.
• Contribute to security, governance, observability, and compliance of AI components.

Skills

Agentic AI

Generative AI

LLMs

Python development

Cloud platforms

Software design

Education

Bachelors degree in Computer Science, Computer Engineering, Data Science, or an equivalent engineering discipline

Tools

Vector databases

Model serving

ML pipelines

Job description

Accenture Belgium seeks a hands-on AI Engineer to design, develop, integrate, and test AI components across traditional ML, Generative AI, and agentic systems within client engagements. You will transform architectures into production-ready software and build agent logic, tools, memory, and integration points.

You will champion security, observability, governance, and scalable enterprise-grade components, collaborating with Data Engineers, ML Engineers, and Application Developers, documenting