Technical Architect (AWS | AI/LLM | Data Engineering | SAP Integration)_Hybrid

Job Title: Technical Architect

• *Location: Remote/Hybrid**

• *Experience: 10\+ yrs**

• *Budget : 30 LPA**
• *NP\- Immediate Joiners or 15 days notice period**

• *Job Summary**

We are looking for a Technical Architect, who can work closely with SAP and analytics teams to design and build scalable data solutions. The role involves working closely with SAP, analytics, AI/ML, and engineering teams to design scalable graph\-based data solutions, AI\-enabled knowledge intelligence platforms, and enterprise integrations.

• *Key Responsibilities**

Create and optimize **data schemas** tailored for **machine learning and analytics use cases** Design and implement **data pipelines** involving: Data ingestion (batch and streaming) ETL processes Workflow orchestration on **AWS** Build, deploy, and maintain **REST APIs** for data access and integration Define architecture patterns for AI/LLM\-enabled search, retrieval, and analytics capabilities. Integrate solutions with **Microsoft Teams** for notifications, workflows, or insights sharing Collaborate with SAP functional and technical teams to support **security, access, and analytics use cases** Ensure data quality, performance, and scalability across platforms Define scalable and secure cloud\-native architecture using AWS services and DevOps best practices. Support AI response stabilization approaches including controlled retrieval, indexing strategies, contextual filtering, and workflow orchestration. Design, develop, and manage **graph data models**, with a strong focus on **Neo4j.** **Required Skills \& Experience**

Strong understanding of **data modeling and schema design** for ML\-driven applications Experience designing and operating **data pipelines** using AWS services (e.g., ingestion, ETL, orchestration) Good exposure to AWS Bedrock, AWS SageMaker, Bedrock Agents, MCP, LangChain/LangGraph, Python, FastAPI, FAISS, RAG Architecture. Strong understanding of cloud\-native architectures, microservices, and distributed systems. Experience with AI/LLM ecosystems, semantic search, vector databases, embeddings, or Retrieval\-Augmented Generation (RAG) concepts. Hands\-on experience with **graph databases**, preferably **Neo4j** Experience in **API development and deployment** Working knowledge of **Microsoft Teams integrations** Ability to work closely with cross\-functional teams and explain technical concepts clearly **Nice to Have**

Exposure to **security analytics** or access\-control\-related analytics Basic knowledge of **SAP Security / SoD concepts** Prior experience working in SAP\-driven enterprise environments Exposure to DevOps, Infrastructure as Code (Terraform/CloudFormation), Docker, or Kubernetes.