ph3Role Overview /h3 pWe are looking for AI/LLM Engineers /Architects across multiple career levels to design, build and scale end-to-end AI platform architectures that power the modern, reinvented enterprise. You will work across classical machine learning, generative AI and agentic systems, helping clients turn business needs into secure, reliable and measurable AI platforms. Depending on level, the role ranges from hands‑on engineering and component delivery through to solution ownership, technical leadership, executive advisory and practice thought leadership. /p h3What you will do /h3 ul liDesign, build and deploy AI solutions using agentic, generative and classical AI/ML technologies on cloud platforms. /li liDevelop AI agent architectures including prompts, tools, skills, memory, orchestration, handoffs and error recovery. /li liIntegrate foundation models, fine‑tuning approaches, retrieval‑augmented generation, embeddings, vector search and enterprise knowledge sources. /li liEngineer secure, observable and scalable AI systems with guardrails, PII handling, access controls, monitoring, audit logging and cost controls. /li liEvaluate solution quality using test harnesses and metrics such as accuracy, relevance, faithfulness, performance and cost. /li liCreate architecture artefacts,



design documents, integration specifications and reusable patterns that support delivery teams. /li liCollaborate with data engineers, ML engineers, application developers, clients and senior stakeholders to deliver business value. /li /ul h3Education /h3 pBachelor’s degree or equivalent experience in Computer Science, Computer Engineering, Data Science or a related discipline. /p h3Required Experience /h3 p(level of required experience required will increase with seniority) /p ul liExperience in the LLM and Generative AI space. /li liExperience architecting and operationalizing LLM‑driven application architecture patterns. /li liCoding experience using python. /li liCoding and engineering, machine learning, deep learning and NLP solutions and applications. /li liExperience in designing, deploying AI / ML solutions using at least one cloud vendor. /li /ul h3For more senior roles /h3 ul liSignificant experience in engineering, machine learning, deep learning, NLP solutions and applications. /li liProven experience as a machine architect in the industry designing big data, machine learning and large-scale analytical engineering solutions. /li /ul /p #J-18808-Ljbffr

📌 AI/LLM Engineer / Solution Architect (Barcelona)
🏢 Accenture
📍 Barcelona