AI Large Language Model (LLM) Technology Architect
Pubblicato il 01-08-2026 - Altro in Milano
As an hands‑on AI/LLM Architect, you design and build advanced AI systems for enterprise use. You work across classical ML, generative AI, and agentic architectures, delivering in client engagements. You translate requirements into concrete architecture decisions and implement end-to-end components, ADRs, and integration specs. You collaborate with data and ML engineers to ground outputs in enterprise data and ensure security, observability, and reliability. This role offers growth toward lead or principal architect as you shape scalable AI solutions for business impact.
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Architect, build, and deliver software components across the AI stack end-to-end
Design AI agent architectures with prompts, tools, skills, multi-agent orchestration, and memory
Prototype and validate orchestration patterns for task handoffs, state management, and error handling
Evaluate design options balancing capability, cost, performance, and reliability
Create evaluation strategies for agent/system quality (accuracy, relevance, faithfulness) and drive design improvements
Integrate foundation models with suitable invocation, fine-tuning, RAG, and custom integration choices
Develop model adaptation and fine-tuning pipelines leveraging transformer architectures
Design the AI context layer with context graphs, ingestion pipelines, and retrieval to ground outputs
Build embedding/vector storage and retrieval into end-to-end RAG pipelines connected to enterprise data
Implement context assembly and memory components for grounded,
accurate outputs
Create reusable components and patterns to accelerate delivery across engagements
Optimize for cost, latency, and throughput; manage caching and resource usage
Ensure systems meet security, governance, and Responsible AI requirements with guardrails and PII handling
Build governance features like versioning, audit logging, and lineage; document models
Embed observability through logging, tracing, monitoring, and cost tracking for production health
Produce architecture artifacts (ADRs, blueprints, diagrams) to guide teams
Continuously learn and apply new AI design patterns and tech
Collaborate with data engineers, ML engineers, and application developers to translate requirements
Experience designing and deploying enterprise AI solutions using agentic, generative, and classical AI/ML with at least one cloud vendor
Hands-on experience with Agentic, LLM, and Generative AI domains
Proficiency in Python
Strong background in architecting and operationalizing LLM-driven application architectures
Professional experience in engineering, ML, deep learning, and NLP applications
Multiple years as a ML architect delivering large-scale data and analytical solutions
As an hands‑on AI/LLM Architect, you design and build advanced AI systems for enterprise use. You work across classical ML, generative AI, a…
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