Overview In this role you lead as the definitive AI architecture authority, owning end-to-end AI platform design across traditional ML, generative AI, and agentic systems. You partner with CIOs and CTOs to shape enterprise AI strategy and translate business goals into a coherent technical vision. You guide cross-domain teams, set architectural directions, and ensure robust security, governance, and scalability. You drive thought leadership, contribute to reusable assets, and present deep architectural guidance to executive stakeholders. This is a high-impact opportunity to define how clients adopt, scale, and lead with AI at enterprise scale.

Responsabilità

Shape enterprise AI strategy with CIOs/CTOs and business leaders Lead enterprise AI assessments and roadmaps sequencing investments Own end-to-end AI platform architecture aligning with business objectives and standards Translate guiding principles into concrete technical solutions Build prototypes and proofs of concept to de-risk decisions Conduct technology assessments and make evidence-based tool/framework recommendations Define architecture for multi-agent ecosystems, memory, and tool/skill use with an AI Gateway Establish agent registry, certification, and memory as a platform service Define foundation model/inference strategy and cost/latency-aware routing Set standards for high-throughput,



low-latency inferencing and ML deployment Own enterprise context layer including knowledge graphs and semantic retrieval Oversee prompt/context management and conversational state Ensure security, governance, observability, performance, and scalability across domains Govern identity, authorization, and guardrails; manage MCP control plane Advocate adopt-over-build and establish FinOps for cost awareness Lead cross-domain architecture workshops and produce authoritative artifacts (ADRs, diagrams) Represent the firm externally as a thought leader through publications and talks Provide executive-level technical leadership to cross-functional teams

Requisiti fondamentali

Extensive experience designing and deploying enterprise-grade AI solutions (agentic, generative, and classical AI/ML) across at least one cloud vendor Proven experience in LLM and Generative AI space Strong background in architecting and operationalizing LLM-driven application architectures Deep experience in engineering, ML, DL, and NLP applications Hands-on experience as a machine architect designing large-scale data and ML/analytic solutions strategic thinking executive communication cross-functional collaboration enterprise AI architecture agentic systems and multi-agent orchestration AI security and governance

📌 AI Large Language Mode (LLM) Technology Lead/Principal Architect (Assago)
🏢 Accenture
📍 Assago