Distinguished, Enterprise Architect

About Salesforce

We are seeking a high-caliber Senior Enterprise Architect with over 15 years of industry experience across the Consumer Goods and Retail sectors. In this pivotal role, you will act as a trusted advisor and hands-on technology leader, bridging business strategy with technical execution to drive digital transformation.

You will design and execute enterprise-level architectural strategies centered around core business systems (CRM, ERP, Supply Chain, Commerce) and foundational cloud technologies. You will redefine business models to unlock measurable financial and operational outcomes—generating new revenue streams, optimizing cost structures, and maximizing operational efficiency.

Crucially, this role requires a modern builder mindset. Beyond strategic blueprints, you will possess hands-on development expertise in AI, Large Language Models (LLMs), and AI Agents to pioneer the Agentic Enterprise—an operational model where autonomous AI agents and human workers seamlessly collaborate to elevate customer value and speed to execution.

Core Responsibilities

1. Enterprise Architecture & Business Transformation

Lead cross-functional architecture initiatives that align complex business strategies in Retail and CPG with scalable technology roadmaps.

Partner closely with C-level executives (CIO, CTO, Business Unit Leaders) to clarify strategic intent, resolve architectural ambiguity, and prioritize high-impact investments.

Architect and evaluate multi-system landscapes encompassing CRM, ERP, Core Banking/Commerce, Supply Chain, and legacy back-office applications.

Identify opportunities for structural optimization to create direct business value: expanding revenue channels, streamlining operating costs, and eliminating friction in execution.

2. Foundational Technology & Governance

Establish scalable technical blueprints covering Cloud Infrastructure, Integration Architecture (REST/GraphQL APIs, Event-Driven/Batch flows), Data Modeling, and Enterprise Security.

Design data architecture layers, including ontologies, vector databases, and knowledge graphs to ensure enterprise data is structured for AI enablement.

Enforce robust security, regulatory compliance, and data governance controls across all solution domains.

Define technical standards and reference architectures to avoid point-to-point technical debt and unscalable implementations.

3. Agentic Enterprise & AI Innovation

Architect and deploy Agentic Enterprise Workflows, establishing continuous synergy between specialized AI agents and human judgment.

Apply hands-on experience with LLMs, prompt engineering, agent orchestration frameworks, Model Context Protocol (MCP) tooling, and integrations.

Transform document-heavy, multi-system manual tasks (e.g., trade promotion management, order-to-fulfillment, supplier onboarding, back-office auditing) into streamlined, autonomous workflows.

Conduct rapid prototyping and proof-of-concept (PoC) builds, maintaining an active, hands-on engineering mindset.