Hands-On AI LLM Architect for Enterprise Systems

Accenture; Wien; Vor Ort; EUR 54.000 - 82.000; Vollzeit

Benefits dieser Stelle

Cutting-edge AI projects

Continuous learning & certification

Flexible working model

Zusammenfassung

Accenture is seeking an AI Large Language Model (LLM) Technology Architect in Austria to lead hands-on design and implementation of enterprise AI systems across ML, generative AI, and agentic architectures. You will build components, evaluate frameworks, and produce ADRs and diagrams while collaborating with data engineers, ML engineers, and application developers.

This role requires a Bachelor’s degree and proven experience in deploying enterprise AI solutions, with strong Python skills and a

Qualifikationen

• Proven experience in designing & deploying enterprise grade AI solutions.
• 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 designing big data, ML systems and large-scale solutions.

Aufgaben

• Design and build AI components end-to-end as a hands-on practitioner.
• Develop AI agent architectures with prompts, tools, and memory.
• Create agent orchestration patterns with state management and error recovery.
• Evaluate design options balancing capability, cost, performance, and reliability.
• Architect foundation model integrations (fine-tuning, RAG, and custom integrations).
• Design context layers with ingestion pipelines and retrieval components grounded in enterprise data.

Kenntnisse

Agentic AI

LLM architectures

Generative AI

Python coding

Ausbildung

Bachelor’s Degree or equivalent

Jobbeschreibung

Accenture is seeking an AI Large Language Model (LLM) Technology Architect in Austria to lead hands-on design and implementation of enterprise AI systems across ML, generative AI, and agentic architectures. You will build components, evaluate frameworks, and produce ADRs and diagrams while collaborating with data engineers, ML engineers, and application developers.

This role requires a Bachelor’s degree and proven experience in deploying enterprise AI solutions, with strong Python skills and a