AI LLM Architect: Agentic Systems & Grounded AI

Accenture DACH

Wien

Vor Ort

EUR 48.000 - 59.000

Vollzeit

vor 9 Stunden
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Work on cutting-edge AI
Continuous learning and certifications
Flexible working models

Zusammenfassung

Accenture is seeking an AI Large Language Model (LLM) Technology Architect in Austria to lead hands-on design and delivery of enterprise-grade AI solutions. You will architect agent-based systems, integrate foundation models, and ensure security, observability, and governance across projects.

The role emphasizes practical engineering, ADRs, data flows, and scalable architectures. Collaborate with data and ML engineers to turn client requirements into robust AI platforms that balance innovation

Qualifikationen

  • Proven experience in designing & deploying enterprise grade AI solutions using agentic, generative and classical AI/ML on at least one cloud vendor.
  • Experience in Agentic, LLM and Generative AI space.
  • Proficient in Python.
  • Strong foundation in architecting and operationalizing LLM-driven AI architectures.
  • Professional experience in coding engineering, ML, DL and NLP solutions and applications.
  • Several years hands-on as a machine learning architect designing big data and large-scale analytical engineering solutions.

Aufgaben

  • 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, balancing capability, cost efficiency, performance, and reliability
  • Design, build, and run evaluation strategies that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness
  • Architect and implement foundation model integrations — including fine-tuning, RAG, and custom integration
  • Build embedding, vector storage, and retrieval into end-to-end RAG pipelines connecting to enterprise data sources
  • Design and implement context assembly and memory components for grounded outputs
  • Identify and build reusable components and patterns for templated delivery
  • Design for cost efficiency and performance, optimizing model usage and latency
  • Design, build, and validate systems with guardrails, PII handling, and access controls
  • Build governance controls including versioning, audit logging, and lineage tracking
  • Build observability into systems with logging, tracing, monitoring, and cost tracking
  • Produce architecture artifacts (ADRs, blueprints, diagrams) to guide teams
  • Continuously learn and apply new AI design patterns across the landscape
  • Collaborate with cross-functional teams to translate requirements into architecture decisions

Kenntnisse

AI/ML architecture
Python
Agentic AI
Generative AI
LLM architectures
Cloud integration

Ausbildung

Bachelor's Degree

Jobbeschreibung

Accenture is seeking an AI Large Language Model (LLM) Technology Architect in Austria to lead hands-on design and delivery of enterprise-grade AI solutions. You will architect agent-based systems, integrate foundation models, and ensure security, observability, and governance across projects.

The role emphasizes practical engineering, ADRs, data flows, and scalable architectures. Collaborate with data and ML engineers to turn client requirements into robust AI platforms that balance innovation

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