Agentic AI & Commerce Architect

ACCENTURE; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Annual bonus

Equity opportunities

Health benefits

Pension plan

Flexible work options

Paid volunteering days

Job summary

Accenture in London seeks an Agentic AI & Commerce Architect to lead end-to-end design and delivery of production-grade agentic commerce systems for global clients. You will define system architecture, select AI/ML platforms, and ensure scalable, secure solutions integrated into live commerce environments.

You will partner with development, DevOps, data engineering, and client teams to translate strategy into executable architectures, guiding multi-region programs and enterprise-scale

Qualifications

• 8+ years in AI/ML systems with production Generative AI experience.
• 4+ years enterprise commerce delivery on Salesforce, Adobe, SAP or MACH stacks.
• Proven experience designing LLM-based systems: RAG, tool-calling, multi-agent orchestration.
• Experience with vector retrieval architectures and embedding pipelines.
• Experience designing AI governance frameworks: auditability, HITL, compliance controls.
• AgentOps/LLMOps: observability, tracing, and model evaluation in production.
• Commerce stack integration: OMS, PIM, DAM, CRM, payments, fulfilment.
• Proficiency in Python, APIs, distributed systems.
• Cloud delivery on AWS, GCP, or Azure; CI/CD and cloud-native architecture.
• Demonstrated leadership of complex, multi-region enterprise programs.

Responsibilities

• Design and document multi-agent architecture blueprints and AI governance patterns.
• Lead architecture for integration with enterprise commerce stacks via APIs and events.
• Drive build-vs-buy decisions across LLM platforms and orchestration tools.
• Embed governance, observability, and guardrails as first-class architectural concerns.
• Lead workshops with senior client stakeholders and translate strategy into roadmaps.
• Provide architectural leadership across distributed delivery teams.
• Define KPIs for agent performance, ROI, and operational efficiency.
• Shape Accenture Song's Agentic Commerce standards and accelerators.

Skills

Leadership

Stakeholder management

Strategy thinking

Communication

Cloud delivery

Python

APIs / microservices

Vector databases

LLMOps tooling

Distributed systems

Tools

Python

LLMOps tooling

Vector databases

APIs / microservices

Cloud platforms (AWS/GCP/Azure)

Job description

Job Description

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

Qualification

What You Need

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 of choice.
• Family-friendly and flexible work policies.
• Attractive pension plan with financial wellbeing support and resources.
• Private healthcare insurance plan and Mental Wellbeing support.
• Employee Assistance Programme, Career Development and Counselling.
• A range of generous Parental Leave offerings.

Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the outstanding services we are known for.

Note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

SNGCR01

Locations

London

Additional Information

Equal Employment Opportunity Statement

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About Accenture

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