Agentic AI & Commerce Architect

Role- Agentic AI and Commerce Architect Location- London Level- Senior Manager/Associate Director Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song As an Agentic AI & Commerce Architect, you will lead the end-to-end technical design and delivery of production-grade agentic commerce systems for global enterprise clients. You   are responsible for   defining the overall system architecture,   selecting   and governing AI/ML and platform technologies, and ensuring solutions are scalable, secure, and embedded into live enterprise commerce environments. You will partner closely with development, DevOps, data engineering, and client teams to translate agentic commerce strategy into executable, production-ready architecture.   This is a high-impact role at the intersection of two rapidly converging disciplines — enterprise commerce and agentic AI. The primary hiring dimension is agentic AI architecture at enterprise scale; commerce depth is strongly preferred, and candidates with strong AI credentials and adjacent platform experience will be considered.   The Work   Architecture & Design   Design and document multi-agent architecture blueprints, agentic orchestration patterns, knowledge and semantic layer blueprints, AI governance blueprints, and   AgentOps / LLMOps   architecture   Design the knowledge architecture underpinning agent intelligence: embeddings pipelines, vector retrieval, and semantic search — structured around commerce-specific intent, product relationships, and category hierarchies   Architect the integration layer connecting agentic systems to enterprise commerce stacks (OMS, PIM, DAM, CRM, payments, pricing, fulfilment) via API gateways, event buses, and emerging agentic protocols (MCP, A2A, ACP, UCP)   Lead build vs. buy decisions across LLM platforms, orchestration frameworks, vector stores, and agentic workbenches; design multi-model routing strategies to avoid single-provider lock-in   Embed AI governance, observability, and guardrail design as first-class architectural concerns — audit logging, human-in-the-loop escalation, adversarial testing, and compliance controls — not retrofitted after deployment   Commerce Platform Leadership   Lead large-scale agentic commerce implementations across Salesforce Commerce Cloud, Adobe Commerce, SAP Commerce, and composable/MACH stacks — embedding agentic AI into live production environments   Translate agentic commerce strategy into executable platform roadmaps grounded in the client's existing commerce stack and data estate   Lead architecture workshops with senior client stakeholders, presenting clear options with defined trade-offs, timelines, and business outcomes   Develop TCO models, effort estimates, and phased delivery roadmaps   Implementation & Delivery   Provide architectural leadership across distributed, multidisciplinary delivery teams spanning AI, backend, data, cloud, and DevOps   Guide the path from prototype to production — defining the architectural runway that enables rapid, CI/CD-enabled scaling of agentic solutions   Define and oversee the   AgentOps / LLMOps   framework:   establishing   standards for production monitoring, tracing, model evaluation, and continuous improvement across delivery teams   Define KPIs to measure agent performance, conversion uplift, operational efficiency, and ROI   Practice & Market Development   Shape Accenture Song's Agentic Commerce architecture standards, reference architectures, and reusable accelerators    Create industry-specific POVs, demos, and proposal assets for commerce pursuits    Engage C-suite stakeholders and grow engineering talent within the practice   What You Nee d   Must Have  8+ years in AI/ML systems, with demonstrable experience designing and delivering Generative AI and agentic AI systems in production   4+ years enterprise commerce delivery on one or more of: Salesforce Commerce Cloud, Adobe Commerce, SAP Commerce, or composable/MACH stacks — or equivalent depth in adjacent enterprise platform delivery with a clear trajectory into commerce   Proven experience designing LLM-based systems: RAG, tool-calling, multi-agent orchestration, reasoning workflows   Experience with vector retrieval architectures and embedding pipelines in production (semantic search, RAG)   Experience designing AI governance frameworks: auditability, HITL, red teaming, compliance controls   AgentOps / LLMOps : observability, tracing, and model evaluation in production   Commerce stack integration: OMS, PIM, DAM, CRM, payments, and fulfilment systems   Proficiency   in Python, agent frameworks, vector databases, APIs/microservices, distributed systems   Cloud delivery on AWS, GCP, or Azure; CI/CD and cloud-native architecture   Demonstrated leadership of complex, multi-region enterprise programs   Nice to Have  Experience with agentic commerce protocols: MCP, A2A, ACP (OpenAI), UCP (Google)   Hyperscaler   agentic platforms: Google Vertex AI / Agent Dev Kit, Azure AI Foundry, AWS Bedrock Agents   GEO/AEO content architecture: structuring product data for LLM discoverability   What’s in it for you: Our  Total Rewards   consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as: Up to 30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work