Salary Range
$40,800 - $55,200 /year
EstimatedThis salary is estimated based on similar roles. The actual salary may vary.
Must have Skills : GenAI, Agentic AI, Observability
Good To Have Skills : Retail & CPG - General Experience, Prompt Engineering
Job Description 
Job Title: GenAI / Agentic AI Architect
Retail & CPG (GCP)
Experience: 9β11 Years
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About the Role
We are seeking a seasoned GenAI / Agentic AI Architect with deep expertise in Retail & CPG domain to design and deliver intelligent, scalable AI solutions.
You will play a critical role in transforming business processes such as customer personalization, demand forecasting, supply chain optimization, and digital commerce using Generative AI and Agentic systems on GCP.
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Key Responsibilities
β’ Architect and implement GenAI-powered solutions tailored to Retail & CPG use cases:
o Personalized recommendations & customer 360
o Intelligent product discovery & search
o Marketing content generation (campaigns, product descriptions)
o Demand forecasting & inventory optimization
o Conversational AI for customer support and sales
β’ Design and deploy Agentic AI systems:
o Autonomous agents for campaign management, pricing optimization, and supply chain decisions
o Multi-agent orchestration for end-to-end retail workflows
β’ Build RAG-based architectures leveraging structured & unstructured enterprise data
β’ Design scalable solutions using vector databases for semantic search and personalization
β’ Develop advanced prompt engineering frameworks:
o Prompt templates, chaining, evaluation, and optimization
o Hallucination control and response grounding
β’ Leverage Google Cloud Platform (GCP) services:
o Vertex AI (LLMs, pipelines, model deployment)
o BigQuery (analytics & customer insights)
o Cloud Run / GKE (scalable microservices)
o Dataflow / Pub-Sub (real-time data pipelines)
β’ Establish observability for AI systems:
o Model performance monitoring
o Prompt/response tracking
o Drift detection and feedback loops
o Business KPI alignment (conversion, basket size, churn reduction)
β’ Ensure Responsible AI practices:
o Bias mitigation, explainability, data privacy (GDPR/CCPA awareness)
o Secure AI deployments
β’ Collaborate with business stakeholders (merchandising, marketing, supply chain) to translate requirements into AI solutions
β’ Mentor teams and drive adoption of LLMOps / MLOps best practices
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Must-Have Skills
β’ 9β11 years of experience with strong exposure to Retail / CPG domain
β’ Hands-on experience in Generative AI & LLM ecosystems (OpenAI, Gemini, open-source models like LLaMA)
β’ Proven experience in Agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen, etc.)
β’ Expertise in Prompt Engineering & evaluation frameworks
β’ Experience with Vector Databases (Pinecone, Weaviate, FAISS, Milvus)
β’ Strong experience in GCP (Vertex AI, BigQuery, GCS, Pub/Sub, etc.)
β’ Experience building RAG pipelines and personalization engines
β’ Strong programming skills in Python
β’ Experience in Observability tools (OpenTelemetry, Grafana, Prometheus)
β’ Solid understanding of customer data platforms, retail analytics, and omnichannel ecosystems
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Good-to-Have Skills
β’ Experience with pricing & promotion analytics
β’ Knowledge of supply chain & demand planning systems
β’ Exposure to eCommerce platforms (Shopify, Magento, SAP Commerce, etc.)
β’ Experience in real-time recommendation systems
β’ Familiarity with knowledge graphs and hybrid search architectures
β’ Experience with Kubernetes / microservices architecture
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Key Use Cases You Will Drive
β’ AI-powered customer personalization & recommendation engines
β’ Smart merchandising assistants for category managers
β’ AI agents for marketing automation & campaign optimization
β’ Demand forecasting & inventory planning using GenAI + ML hybrid models
β’ Conversational AI for customer engagement & post-purchase support
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What Weβre Looking For
β’ Strong domain-led solutioning mindset 
β’ Ability to connect business KPIs with AI outcomes
β’ Excellent stakeholder communication & consulting skills
β’ Passion for building production-grade, scalable AI systems
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Why Join Us
β’ Work on cutting-edge AI transformation programs in Retail & CPG
β’ Opportunity to build agentic, autonomous enterprise systems
β’ High-impact role with end-to-end ownership
β’ Collaborative, innovation-driven culture with continuous learning