AI/LLM Architect for Enterprise Agent Systems

4400 Accenture S.p.A Company; Bazzana Inferiore; In loco; EUR 32.000 - 66.000; Tempo pieno

Descrizione del lavoro

Accenture is seeking a hands‑on AI/LLM Architect to design and build advanced AI systems for enterprise clients. You will work on architecture decisions, agentic and generative AI solutions, and integrate foundation models with enterprise data in real products.

You will collaborate with data engineers, ML engineers, and application developers, delivering architecture artifacts, ADRs, and integration specifications to guide broader teams and ensure security, governance, and scalability.

Competenze

• Proven experience in designing & deploying enterprise grade advanced AI solutions using agentic, generative and classical AI/ML using at least one cloud vendor.
• Practical 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 in the industry designing big data, machine learning, large scale analytical engineering solutions.

Mansioni

• 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
• Evaluate multiple design options and technical approaches, making deliberate, justified design choices that balance capability, cost efficiency, performance, and enterprise‑grade reliability
• Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness
• Architect and implement foundation model integrations — selecting the right models, invocation patterns, and customization approaches
• Design and build model adaptation and fine‑tuning pipelines, applying working knowledge of transformer‑based architectures
• Design and build the AI context layer — including context graph design and ingestion pipelines
• Build embedding, vector storage, and retrieval (semantic, hybrid, reranking) into end‑to‑end RAG pipelines
• Design and implement context assembly and memory components that manage prompts, context windows, and conversational state
• Identify, design, and build reusable components and solution patterns that accelerate delivery
• Design for cost efficiency and performance — optimizing model usage, inference patterns, caching, and resource utilization
• Design, build, and validate systems against enterprise non‑functional requirements — implementing guardrails, prompt‑injection defenses, PII handling, and access controls
• Build governance controls including versioning, audit logging, and lineage tracking
• Build observability into systems — logging, tracing, monitoring, alerting, and cost tracking
• Produce detailed architecture artifacts — including ADRs, blueprints, design documents, and integration pattern specifications
• Continuously learn, evaluate, and apply new design patterns and technologies
• Collaborate with cross‑functional delivery teams to translate requirements into architecture decisions

Conoscenze

AI architecture

Python

LLM / Generative AI

Cloud platforms

NLP

Agentic systems

Formazione

Bachelor's Degree or equivalent

Strumenti

Python

LLM tooling

RAG integration

Descrizione del lavoro

Accenture is seeking a hands‑on AI/LLM Architect to design and build advanced AI systems for enterprise clients. You will work on architecture decisions, agentic and generative AI solutions, and integrate foundation models with enterprise data in real products.

You will collaborate with data engineers, ML engineers, and application developers, delivering architecture artifacts, ADRs, and integration specifications to guide broader teams and ensure security, governance, and scalability.