11 set - Assago
Accenture Infrastructure and Capital Projects
AI Large Language Model (LLM) Technology Architect
Career Level: Associate Manager / Specialist
YOU ARE
As a hands‑on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands‑on role — you will spendthe majority ofyour time in the architecture and engineering of real‑world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements.
You will translate requirements into concrete architecture decisions: selecting design patterns, evaluatingand benchmarking technical frameworks, assembling reusable components, and making deliberate technology choices that balance innovation with enterprise‑grade reliability. You will design and build AI agent architectures — including multi‑agent orchestration, tool use, skills use, and memory systems — and work hands‑on with foundation models through fine‑tuning, retrieval‑augmented generation (RAG), and custom model integration.
A partof your work will also involve engineering the AI context layer that makes these systems intelligent in practice — connecting enterprise knowledge bases, structured and unstructured data sources, and domain‑specific content so that AI outputs are grounded, accurate, and relevant to the client’s business. You will design andvalidatesystems against enterprise non‑functional requirements across security, observability, governance, performance, and scalability. A core output of this role is the production of tangible engineering and architecture deliverables. This means writing and owning software components — building, integrating, and testing AI system modules as a practitioner — alongside producing detailed architecture artifacts including architecture decision records (ADRs),componentdiagrams, data flow diagrams, and integration specifications that guide and enable broader engineering teams.
You will work with cross‑functional
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