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Technical Architect - AI/ML

Hire Alpha
10 - 12 Years
Cochin/Kochi

Posted on: 13/06/2026

Job Description

Position : Technical Architect.

Job Title : Technical Architect.

Location : Kochi | Hybrid.

Employment Type : Permanent.

Experience : 10+ Years.

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 :

1. Data ingestion (batch and streaming)

2. ETL processes

3. 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. Good exposure to AWS Bedrock, AWS SageMaker, Bedrock Agents, MCP, LangChain/LangGraph, Python, FastAPI, FAISS, and 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 integration.

- 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.

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