Job Description: Associate AI Architect – Retail & CPG (Agentic AI)
(Includes Grocery, Specialty Retail, Omnichannel Commerce, CPG Manufacturers, and Distributor Ecosystems)
Location: Hybrid
Practice: Data, AI & Digital Engineering – Retail & CPG
Reports To: Global Head of AI / Industry Solutions
We are seeking an accomplished AI Architect with strong Retail & CPG domain knowledge to define and deliver end-to-end AI solution architectures for global clients. This role combines hands-on architecture depth with leadership in translating business needs into secure, scalable AI systems across merchandising, supply chain, marketing, sales, and store/field operations.
The ideal candidate is AI-native and fluent in agentic frameworks , modern LLM application patterns (RAG, tool use, orchestration), and enterprise integration. They will be able to identify high-value use cases , run structured discovery, build quick POCs/pilots , and define the reference architectures, governance, and operating model required to move from experimentation to production at scale.
This is a senior, visible role focused on architecture ownership —driving technical direction, defining target-state architectures, setting standards/guardrails, and guiding teams to deliver production-grade AI solutions (reliability, performance, security, cost, and maintainability) in complex Retail/CPG environments.
1. Retail/CPG AI Solution Architecture & Technical Governance
Own the target-state AI architecture for Retail/CPG clients—defining platform, data, model/LLM, integration, and security patterns aligned to enterprise constraints.
Lead architecture governance with business and technology stakeholders—capturing requirements, defining NFRs (latency, availability, cost), and ensuring alignment across teams and vendors.
Define domain architecture patterns for common Retail/CPG AI scenarios (personalization, pricing/promo, planning, knowledge copilots, store execution), including data contracts and integration touchpoints.
Embed responsible AI practices: data privacy, security, model risk, bias/safety controls, evaluation, and compliance (including brand/legal requirements in Retail/CPG).
4. Enterprise AI Platform, Data Foundations & Integration
Architect AI solutions that integrate with Retail/CPG enterprise platforms and data products (ERP, OMS, WMS/TMS, demand planning, PIM/MDM, CRM/CDP, ecommerce platforms, retail media platforms), leveraging modern cloud data stacks and MLOps/LLMOps.
LLMOps/MLOps: model selection, evaluation, deployment, monitoring, and cost controls
Vendor/tooling choices: foundation models, vector databases, orchestration frameworks, and accelerators
5. Lead & Grow High-Performance AI Teams
Retail and CPG are at an inflection point—pressure on margins, volatile demand, supply chain disruption, and rising customer expectations are accelerating investment in GenAI and agentic automation . Organizations need production-grade AI architectures and delivery discipline that improve decision quality and speed across the value chain.
This role will define and scale AI solutions that help clients win—through smarter merchandising, resilient planning, faster execution, and differentiated customer experiences—by delivering robust architectures, rapid prototypes, and production-ready patterns that teams can reuse.
