Associate Principal Engineer(AI Architect)

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: 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