Hands-on AI Architect: LLMs, Agents & Systems

Accenture

Brussel

Sur place

EUR 90 000 - 120 000

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

Accenture is seeking a hands-on AI Engineer to design, build, and integrate AI system components across ML, generative AI, and agentic architectures. You will translate specifications into production-grade software, wire together agents, tools, and memory components, and ensure enterprise-grade security, observability, and scalability within client engagements.

You will work with data engineers, ML engineers, and application developers, evaluating open source libraries, integrating third-party

Qualifications

  • Experience designing, coding, and building advanced AI solutions using agentic, generative and classical AI/ML across at least one cloud vendor.
  • Experience in Agentic, LLM and Generative AI space.
  • Experience architecting and operationalizing LLM-driven application architecture patterns.
  • Experience in coding, machine learning, deep learning and NLP applications.
  • Proficient in Python programming.

Responsabilités

  • Design, build, and configure agents, prompts, tools, and skills for multi-agent workflows.
  • Implement agent orchestration logic for task handoffs, communication, and error recovery.
  • Build evaluation harnesses and test suites to measure accuracy and faithfulness of agents.
  • Integrate foundation models into applications; select models and invocation patterns.
  • Develop model fine-tuning pipelines and transformer-based architectures.

Connaissances

Python
Cloud vendor experience
Agentic AI
Generative AI
NLP

Formation

Bachelor’s Degree in ComputerScience, ComputerEngineering, Data Science, or related engineering discipline

Outils

Vector databases
ML/AI frameworks

Description du poste

Accenture is seeking a hands-on AI Engineer to design, build, and integrate AI system components across ML, generative AI, and agentic architectures. You will translate specifications into production-grade software, wire together agents, tools, and memory components, and ensure enterprise-grade security, observability, and scalability within client engagements.

You will work with data engineers, ML engineers, and application developers, evaluating open source libraries, integrating third-party

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