Technology Architect

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Python (Programming Language) Good to have skills : CommerceTools Commerce Platform Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary : Design, build, and ship GenAI features end to end across web/backend stacks. You ll implement LLM powered experiences (chat, copilots, content automation), robust RAG pipelines, and API integrations using Python and modern front-end frameworks, deploying on AWS/Azure/GCP. Roles & Responsibilities: Implement GenAI features (chatbot flows, agent tools, content generation, summarization) with Python backends (FastAPI/Flask/Django) and React/Angular front ends. Build RAG pipelines:ingestion, chunking, embeddings, vector search, retrieval orchestration, response templating. Integrate cloud AI services:AWS Bedrock (Claude, Titan), Azure OpenAI (GPT 4o family), Google Vertex AI (Gemini) plus model endpoints from Hugging Face. Develop data connectors to S3/Blob/GCS, Kendra/Azure AI Search/Vertex Search, relational/NoSQL stores. Engineer prompt templates, tool use, guardrails, and evaluation harnesses (toxicity, hallucinations, latency, quality). Implement observability & MLOps hooks (OpenTelemetry, logging, tracing, CI/CD), model/config versioning, blue/green deployments. Write secure, testable code (unit/integration tests), perform code reviews, and contribute to reusable libraries/components. Professional & Technical Skills: Strong Python (async, typing), REST/GraphQL APIs, microservices JavaScript/TypeScript for UI. LLMs & GenAI fundamentals:prompting, function/tool calling, structured outputs, evaluation. RAG:embeddings (Titan, text embedding ada/EP), vector DBs (Kendra/AI Search/OpenSearch/FAISS), retrieval strategies (hybrid). Cloud fluency: AWS:Bedrock, Lambda, S3, API Gateway, Step Functions, DynamoDB, Kendra, OpenSearch. Azure:OpenAI, Functions, Key Vault, Cosmos DB, Azure AI Search, App Service, AKS. GCP:Vertex AI, Cloud Run, Cloud Functions, BigQuery, Firestore. CI/CD (GitHub Actions/Azure DevOps), containers (Docker, Kubernetes), IaC (Terraform/CloudFormation/Bicep). Security:secret management (Key Vault/Secrets Manager), data privacy, prompt injection defenses. Experience with multi agent frameworks (LangGraph/LangChain), streaming (Server Sent Events/WebSockets). Front end design systems, accessibility, and performance tuning. Exposure to analytics/telemetry pipelines for model quality monitoring. Additional Information: Bachelor s/Master s in CS/Engineering (or equivalent). Typically, 710 years total experience 24 years in applied GenAI/LLM solutions. A 15 years full time education is required. Qualification 15 years full time education