This role pays less than
65%
of similar roles. Most pay
$163,995–$228,934
— the shaded band above.
At the midpoint, this role pays about
$180k
versus about
$196k
for comparable roles.
Based on 240 similar postings.
Employer
About Accenture
Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.
Accenture currently has
132 open roles
on FindRole.
Listed pay typically runs
$84,100–$263,900
across 84 roles with salary data.
As an Agentic Commerce & AI Manager at Accenture Song’s Customer Technology – Commerce practice, you will lead the design and implementation of advanced AI solutions within digital commerce ecosystems. Your role involves crafting enterprise-level strategies for integrating Generative AI and Agentic AI into platforms like Adobe Commerce, SAP CX, Salesforce Commerce, and Composable Commerce architectures. You’ll work on developing multi-agent systems that enhance personalization engines, campaign management, product recommendations, dynamic pricing, and conversational interfaces. Additionally, you will ensure secure deployment across cloud environments using tools such as FastAPI, Databricks, and Kubernetes while maintaining governance models for responsible AI practices. This role requires expertise in Python, SQL, and Agentic AI frameworks like LangChain and LlamaIndex, along with experience in consulting leadership and stakeholder management to drive enterprise adoption of AI-driven commerce solutions.
AI
Change Management
Project Management
Communication Skills
Generative AI Tools
Microsoft SharePoint
Microsoft Teams
Curriculum Design
Training Delivery
Storytelling
Video Production
CI/CD
Analytics
Python
SQL
PowerPoint
Confluence
JIRA
Trello
Zoom
Slack
AI
ML
Datacenter
Cloud
Product Management
Systems Thinking
Competitive Analysis
GenAI
ML Accelerators
Hardware
Software
Infrastructure
Performance Analysis
System Layers
End-to-End System Behavior
Problem Solving
Technical Analysis
Customer Workloads
Product Roadmap
Engineering Priorities