AI/LLM Architect for Enterprise Agentic Systems

Accenture Italia

Lombardia

On-site

EUR 32,000 - 66,000

Full time

18 hours ago
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Job summary

Accenture Italia is seeking a hands-on AI/LLM Architect at Associate Manager / Specialist level to design and build enterprise AI systems spanning classical ML, generative AI, and agentic architectures. You will own end-to-end components, orchestrate agents, prompts, tools, and memory, and produce architecture artifacts such as ADRs, data flow diagrams, and integration specs for cross-functional teams.

Candidates should have strong Python skills, cloud experience, and a track record deploying

Qualifications

  • Proven experience in enterprise AI solutions using agentic, generative and classical AI/ML on at least one cloud vendor.
  • Hands-on coding in Python and building LLM-driven architectures.
  • Several years of hands-on experience as a machine learning architect designing large-scale data and NLP solutions.
  • Experience with memory, RAG, and enterprise knowledge base integration.

Responsibilities

  • Design and deliver end-to-end AI software components in a hands-on role.
  • Architect AI agent orchestration, prompts, tools, and memory systems.
  • Evaluate design options balancing capability, cost, and reliability.
  • Build foundation model integrations with fine-tuning and RAG.
  • Produce architecture artifacts and ADRs to guide teams.

Skills

Python
LLM
Generative AI
Architectural design
Cloud computing

Education

Bachelor's Degree or equivalent

Tools

ADR process

Job description

Accenture Italia is seeking a hands-on AI/LLM Architect at Associate Manager / Specialist level to design and build enterprise AI systems spanning classical ML, generative AI, and agentic architectures. You will own end-to-end components, orchestrate agents, prompts, tools, and memory, and produce architecture artifacts such as ADRs, data flow diagrams, and integration specs for cross-functional teams.

Candidates should have strong Python skills, cloud experience, and a track record deploying

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