Enterprise LLM Architect — Design & Implement AI Systems

3300 Accenture GmbH Company; Wien; Hybrid; EUR 54.000 - 70.000; Vollzeit

Benefits dieser Stelle

Flexible working models

Modern work environment

Competitive compensation

Zusammenfassung

Accenture is seeking an AI Large Language Model (LLM) Technology Architect to design and build enterprise AI systems, working hands‑on across ML, generative AI, and agentic architectures. You will translate business requirements into architecture decisions, select patterns, evaluate frameworks, and deliver robust components for client engagements.

You will architect AI agents, memory and context layers, RAG pipelines, and enterprise data integration, focusing on security, observability,

Qualifikationen

• Proven experience in designing & deploying enterprise grade AI solutions using agentic, generative and classical AI/ML across at least one cloud vendor.
• Practical experience in Agentic, LLM and Generative AI spaces.
• Solid Python coding skills and architecture pattern implementation for LLM-driven apps.
• Hands-on practice in machine learning, deep learning, NLP and large-scale analytics.

Aufgaben

• Independently design, build, and deliver software components across the AI architecture from design to implementation and testing.
• Design AI agent architectures with multi-agent orchestration, memory systems, tools, and skills.
• Evaluate design options balancing capability, cost, performance, and reliability; prototyping patterns.
• Architect and implement foundation model integrations, including fine‑tuning, RAG, and custom integration.
• Build the AI context layer, embeddings, vector storage, and retrieval into end‑to‑end RAG pipelines.

Kenntnisse

Python

LLM Architect

Generative AI

Agentic AI

NLP

Cloud platforms

Deep Learning

Machine Learning

Big Data

Ausbildung

Bachelor's degree

Jobbeschreibung

Accenture is seeking an AI Large Language Model (LLM) Technology Architect to design and build enterprise AI systems, working hands‑on across ML, generative AI, and agentic architectures. You will translate business requirements into architecture decisions, select patterns, evaluate frameworks, and deliver robust components for client engagements.

You will architect AI agents, memory and context layers, RAG pipelines, and enterprise data integration, focusing on security, observability,