25 ott - Pavia
Accenture
Overview
As a Lead or Principal AI Architect, you act as the definitive technical authority for AI architecture across client engagements. You own end-to-end AI platform design, spanning classical ML, generative AI, and agentic systems, ensuring alignment with business objectives and enterprise standards. You work with CIOs and CTOs to shape enterprise AI strategy and translate business goals into a coherent technical vision. You guide cross-domain teams, define architectural direction, and drive reusable assets and methodologies. You will influence the field through thought leadership and external representation, delivering robust, scalable, and value-driven AI solutions.
Responsabilità Shape enterprise AI strategy with CIOs/CTOs and business leaders
Lead enterprise AI assessments and roadmaps for sequenced investments
Own end-to-end architecture for complex AI platforms across domains
Translate governance principles into concrete technical solutions for domain teams
Build prototypes and PoCs to de-risk decisions and prove value
Assess and compare tools, frameworks, and platforms with evidence-based recommendations
Define architecture for multi-agent ecosystems with orchestration, memory, and tool usage
Establish memory as a first-class platform service and define model/inference strategy
Set standards for high-throughput, low-latency inference and production ML deployment
Own architecture of enterprise context layer (knowledge graphs, ontologies,
vector search)
Design context assembly and memory for prompts and conversational state
Ensure security, governance, observability, performance, and scalability across domains
Define identity/authorization models and layered guardrails
Govern MCP control plane across internal/third-party systems
Advocate adopt-over-build for evaluation/observability stacks
Establish FinOps considerations and cost planning inputs
Lead integration of domain architects to deliver an enterprise-ready system
Develop reusable reference architectures, frameworks, and assets
Conduct architecture workshops with client executives and engineering teams
Produce authoritative architecture artifacts for scalable delivery
Represent the firm externally through publications and conference engagements
Requisiti fondamentali Extensive experience deploying enterprise-grade AI solutions using 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 ML, deep learning, NLP, and related applications
Multiple years hands-on as a machine architect designing large-scale data and ML systems
leadership
executive stakeholder engagement
clear communication
agentic AI
generative AI
classical AI/ML
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