Ai Large Language Model (Llm) Technology Architect
Pubblicato il 24-10-2026 - Accenture in Varese
Overview
As an hands-on AI/LLM Architect, you design and implement enterprise AI systems spanning classical ML, generative AI, and agentic architectures.
You translate requirements into concrete designs, build components, and produce ADRs and diagrams to guide engineers.
You work with cross-functional teams to Ground AI outputs in enterprise data, while balancing performance, cost, and reliability.
This role offers hands-on engineering, architecture ownership, and a path toward higher architectural leadership.
Responsabilità
Design and deliver end-to-end software components for AI architectures
Build AI agent architectures, prompts, tools, and memory systems
Develop agent orchestration patterns with robust state management and error handling
Evaluate design options to balance capability, cost, performance, and reliability
Create evaluation strategies measuring accuracy, relevance, faithfulness
Integrate foundation models via fine-tuning, RAG, and custom integration
Develop AI context layer with ingestion, context graphs, and knowledge grounding
Implement embedding, vector storage, and retrieval in RAG pipelines
Design memory components for grounded, accurate outputs
Create reusable components and templated patterns for delivery acceleration
Optimize model usage, latency, throughput, and cost
Ensure systems meet security, governance, and Responsible AI standards
Build observability, logging, tracing, monitoring, and cost tracking
Produce architecture artifacts (ADRs, blueprints, diagrams) for teams
Collaborate with data engineers, ML engineers, and application developers
Continuously learn new patterns and tools to stay enterprise-grade
Requisiti fondamentali
Proven experience designing and deploying enterprise-grade AI solutions with agentic, generative, and classical AI/ML on at least one cloud vendor
Hands-on experience in agentic, LLM, and Generative AI space
Strong Python programming skills
Solid foundation in architecting and operationalizing LLM-driven architectures
Professional experience coding, ML, DL, and NLP applications
Several years as a machine learning architect delivering large-scale data and analytical systems
Collaboration with cross-functional teams
Analytical and problem-solving mindset
Communication of complex architectures clearly
Python
LLM architectures
Agentic and generative AI