14 set - Bardi
Accenture
OverviewIn 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.
ResponsabilitàShape 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 fondamentaliExtensive 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
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