Agentic AI Commerce Solutioner

Cognizant

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Dallas, TXChicagoAtlantaNew York, NYSan Francisco, CALos Angeles, CA
Salary
$220,000–$240,000 / yr
Posted
91 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $230k
$141k $257k
below market most similar roles pay here above market

This role pays more than 65% of similar roles. Most pay $162,000–$246,150 — the blue band above. At the midpoint, this role pays about $230k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 330 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.

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At a glance

TL;DR · Agentic AI Commerce Solutioner

The Senior Director Agentic AI Commerce Solutioner joins the commerce architecture team to shape, govern, and sell end-to-end digital and agentic commerce architectures for complex enterprise clients. This role involves designing scalable commerce platforms and multi-agent orchestration patterns for discovery, inventory validation, and checkout journeys. You will translate business visions into implementation-ready blueprints while managing non-functional requirements like security, scalability, and data protection. Key technologies include Universal Commerce Protocol (UCP), Agent2Agent (A2A), Model Context Protocol (MCP), and Agent Payments Protocol (AP2), alongside integrations with Google AI Mode, Gemini, Shopify, Salesforce, and BigCommerce. You will solve the technical challenge of connecting consumer AI surfaces to merchant systems while preserving brand sovereignty, first-party data ownership, and margin integrity across global markets through event-driven and microservice-oriented architectures.

What you'll do

  • Design end-to-end digital commerce architectures integrating storefronts, order management, payments, and downstream enterprise systems.
  • Architect agentic commerce solutions connecting consumer AI surfaces to merchant systems using UCP, A2A, and MCP protocols.
  • Create solution blueprints, reference models, and implementation guardrails to ensure consistent delivery across business units.
  • Lead client discovery workshops to diagnose current-state gaps and define readiness for commerce modernization.
  • Develop differentiated RFP responses and proposal architectures that translate agentic AI capabilities into quantified business outcomes.
  • Author whitepapers and external content on agentic commerce architecture and implementation patterns.
  • Mentor senior engineers and architects on modern commerce architecture, agentic AI patterns, and integration models.
  • Build and maintain technical relationships with commerce and AI ecosystem partners like Google, Shopify, and Salesforce.

What we're looking for

  • Must have 12–18 years of professional experience in senior solution architecture, digital commerce, technical leadership, consulting, or systems integration.
  • Must have at least 8 years of experience in commerce architecture, solutioning, or technical leadership for enterprise retail, manufacturing, or B2B/B2C environments.
  • Must have extensive experience designing and delivering large-scale digital commerce architectures using modern platforms and integration patterns.
  • Must have significant practical experience in commerce technical implementation, including catalog modeling, order lifecycles, payment orchestration, and checkout experiences.
  • Must have a proven track record in digital commerce solution architecture, including multi-team engagements and architectural governance from concept through deployment.
  • Experience with cloud-based commerce platforms, microservice-oriented architectures, MACH patterns, and event-driven integration strategies (preferred).
  • Experience with AI agent frameworks, agentic system design, or AI-enabled commerce use cases (preferred).

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