Forward Deployed Engineer (Retail AI & Agentic AI)

We are looking for a Technical Savvy/Product Owner/Business Analyst/Architect who deeply understands retail operations, challenges existing workflows where appropriate, and then applies Agentic AI to create tangible business value.

You will be a core member of Reflections AI POD, partnering with client SMEs, AI engineers, data engineers, solution architects, and UX specialists to rapidly deliver production-ready AI solutions.

Experience: 8 to 18 Year

Location: Hybrid (Open to Travel if required)

Key Responsibilities

Business Workflow Discovery

• Work closely with client business stakeholders across merchandising, supply chain, stores,

eCommerce, finance and customer operations.

• Document existing business workflows, pain points and decision-making processes.
• Identify opportunities for process simplification before introducing AI automation.
• Translate business objectives into Agentic AI use cases.

AI Solution Design

• Design AI agent workflows aligned with business processes.
• Break down complex retail operations into autonomous and collaborative AI agents.
• Define human-in-the-loop interactions where appropriate.
• Design multi-agent orchestration and escalation mechanisms.

Implementation Leadership

• Lead deployment of Agentic AI solutions from pilot to production.
• Configure and integrate AI agents with enterprise systems.
• Work with engineering teams to resolve implementation challenges.

• Ensure rapid iteration based on business feedback.

Customer Success

• Become a trusted advisor to client executives and business users.
• Drive user adoption and organizational change.
• Measure business outcomes and continuously optimize AI workflows.
• Act as the voice of the customer within the AI POD.

Required Retail Domain Expertise

Strong knowledge in several of the following areas:

• Merchandising
• Inventory Optimization
• Supply Chain
• Warehouse Operations
• Order Management
• Omnichannel Retail
• Pricing & Promotions
• Category Management
• Vendor Management
• Store Operations
• Customer Loyalty
• eCommerce Operations
• Demand Forecasting
• Returns Management
• Retail Analytics

Experience with retailers, CPG companies, or retail technology platforms is highly desirable.

Hands-on experience with:

• Agentic AI architectures
• Multi-agent systems
• AI workflow orchestration
• Prompt engineering
• Retrieval-Augmented Generation (RAG)
• MCP (Model Context Protocol)
• Tool calling and function orchestration
• AI memory architectures
• Human-in-the-loop workflows
• LLM evaluation and guardrails
• AI observability
• Production AI deployments
• Experience with frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI

Agents SDK, or similar platforms is preferred.

Technical Skills

• APIs and system integrations
• Python
• SQL
• Cloud platforms (Azure, AWS or GCP)
• Vector databases
• Enterprise integration patterns
• REST APIs
• Data engineering fundamentals