Job Description

Must have Skills : GenAI, Agentic AI, Observability

Good To Have Skills : Retail & CPG - General Experience, Prompt Engineering

Job Title: GenAI / Agentic AI Architect

Retail & CPG (GCP)

Experience: 9–11 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

• 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

• 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

• Build RAG-based architectures leveraging structured & unstructured enterprise data

• Design scalable solutions using vector databases for semantic search and personalization

• Develop advanced prompt engineering frameworks:

o Prompt templates, chaining, evaluation, and optimization

o Hallucination control and response grounding

• 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)

• 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)

• Ensure Responsible AI practices:

o Bias mitigation, explainability, data privacy (GDPR/CCPA awareness)

o Secure AI deployments

• Collaborate with business stakeholders (merchandising, marketing, supply chain) to translate requirements into AI solutions

• Mentor teams and drive adoption of LLMOps / MLOps best practices

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Must-Have Skills

• 9–11 years of experience with strong exposure to Retail / CPG domain

• Hands-on experience in Generative AI & LLM ecosystems (OpenAI, Gemini, open-source models like LLaMA)

• Proven experience in Agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen, etc.)

• Expertise in Prompt Engineering & evaluation frameworks

• Experience with Vector Databases (Pinecone, Weaviate, FAISS, Milvus)

• Strong experience in GCP (Vertex AI, BigQuery, GCS, Pub/Sub, etc.)

• Experience building RAG pipelines and personalization engines

• Strong programming skills in Python

• Experience in Observability tools (OpenTelemetry, Grafana, Prometheus)

• Solid understanding of customer data platforms, retail analytics, and omnichannel ecosystems

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Good-to-Have Skills

• Experience with pricing & promotion analytics

• Knowledge of supply chain & demand planning systems

• Exposure to eCommerce platforms (Shopify, Magento, SAP Commerce, etc.)

• Experience in real-time recommendation systems

• Familiarity with knowledge graphs and hybrid search architectures

• Experience with Kubernetes / microservices architecture

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Key Use Cases You Will Drive

• AI-powered customer personalization & recommendation engines

• Smart merchandising assistants for category managers

• AI agents for marketing automation & campaign optimization

• Demand forecasting & inventory planning using GenAI + ML hybrid models

• Conversational AI for customer engagement & post-purchase support

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What We’re Looking For

• Strong domain-led solutioning mindset

• Ability to connect business KPIs with AI outcomes

• Excellent stakeholder communication & consulting skills

• Passion for building production-grade, scalable AI systems

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Why Join Us

• Work on cutting-edge AI transformation programs in Retail & CPG

• Opportunity to build agentic, autonomous enterprise systems

• High-impact role with end-to-end ownership

• Collaborative, innovation-driven culture with continuous learning