Enterprise AI Architect: LLM & Agentic Systems

Accenture; Brussel Hoofdstad; Hybride; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Accenture seeks an AI/LLM Technology Architect to design and build enterprise AI systems spanning classical ML, generative AI, and agentic architectures. You will craft ADRs, data flow diagrams, and integration specs while delivering end-to-end components in client engagements.

You will partner with data and ML engineers to optimize models, grounding AI outputs with enterprise content, ensuring security, observability, and scalable performance across deployments.

Qualifications

• Proven experience in designing & deploying enterprise grade advanced AI solutions using agentic, generative and classical AI/ML with at least one cloud provider.
• Practical experience in the Agentic, LLM and Generative AI space.
• Well versed in coding using Python.
• Solid foundation in architecting and operationalizing LLM driven application architecture patterns.
• Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications.
• Several years of hands on experience as a machine learning architect in the industry designing big data, machine learning, large-scale analytical engineering solutions.

Responsabilités

• Independently design, build, and deliver software components across the AI architecture — owning them end to end from design through implementation, integration, and testing as a hands‑on practitioner.
• Design and build AI agent architectures — including individual agents, their prompts, tools, and skills, multi‑agent orchestration, and memory systems.
• Design and implement agent orchestration patterns that handle task handoffs, communication, state management, and error recovery, validating them through hands‑on prototyping.
• Evaluate multiple design options and technical approaches, making deliberate, justified design choices that balance capability, cost efficiency, performance, and enterprise‑grade reliability.
• Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness.
• Architect and implement foundation model integrations — selecting models, invocation patterns, and customization approaches (fine‑tuning, RAG, custom integration).

Connaissances

Agentic AI

Generative AI

Python

LLM Architecture

Formation

Bachelor's Degree or equivalent

Description du poste

Accenture seeks an AI/LLM Technology Architect to design and build enterprise AI systems spanning classical ML, generative AI, and agentic architectures. You will craft ADRs, data flow diagrams, and integration specs while delivering end-to-end components in client engagements.

You will partner with data and ML engineers to optimize models, grounding AI outputs with enterprise content, ensuring security, observability, and scalable performance across deployments.