Data Architecture Associate Manager

Accenture; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Accenture is seeking a Data Architecture Associate Manager to design and deliver enterprise-scale data and AI platforms on Azure and GCP. You will lead solution architecture, backend engineering, API development, and GenAI implementations, guiding teams to end-to-end delivery.

The ideal candidate brings hands-on development experience and the ability to define enterprise architecture, while mentoring engineers and collaborating with stakeholders.

Qualifications

• 10+ years of software engineering and data platform experience.
• ,
• Generative AI skills and LLM experience.
• Experience designing enterprise-scale data/AI platforms.

Responsibilities

• Design scalable cloud-native data and AI platforms on Azure and GCP.
• Develop backend services and REST APIs in Python (FastAPI/Flask).
• Architect data platforms leveraging Azure Data Factory, Databricks, BigQuery, and Cloud Storage.
• Design GenAI, RAG, and Agentic AI solutions using LLMs.
• Integrate OpenAI, Azure OpenAI, Gemini into enterprise apps.
• Design vector DB architectures (Pinecone/FAISS/ChromaDB).
• Build document ingestion pipelines (PDFs, Office docs, SharePoint).
• Implement authentication with OAuth2, Entra ID, Managed Identity.
• Develop scalable microservices and APIs with enterprise apps.
• Define CI/CD pipelines (Azure DevOps/GitHub Actions).
• Optimize cloud cost, observability, security.
• Lead architecture reviews and mentor teams.
• Collaborate with stakeholders to translate requirements into tech.

Skills

Python development

RESTful APIs

Data modeling

ETL/ELT architecture

Cloud architectures

AI/GenAI

LLM applications

Agentic AI

LangChain/Vector databases

OAuth2/Microsoft Entra ID

CI/CD (Azure DevOps/GitHub Actions)

GCP services (BigQuery, Cloud Run)

Education

BE/BTech

Tools

Docker

Kubernetes

Azure DevOps

Git

Databricks

Pinecone/FAISS/ChromaDB

LangGraph/Semantic Kernel

Job description

Skill required

Data Management - Google Cloud SQL

Designation

Data Architecture Associate Manager

Qualifications

BE/BTech

Years of Experience

10 to 14 years

What would you do?

Intelligent Operations centers. Our 774,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.

We are looking for a Senior Data & AI Solutions Associate Manager with strong expertise in designing and developing enterprise‑scale data and AI platforms on Azure and GCP. The role combines solution architecture, backend engineering, API development, cloud‑native application design, and Generative AI implementation.

The ideal candidate should possess hands‑on development experience while being capable of defining enterprise architecture, leading technical teams, and driving end‑to‑end solution delivery.

What are we looking for?

• 10+ years of software engineering and data platform experience
• Strong Python development expertise
• Experience designing RESTful APIs and microservices
• Azure Services: Azure Functions, App Services, Azure Storage, Azure Data Factory, Azure OpenAI, Azure AI Search, Azure SQL/PostgreSQL, Azure DevOps
• GCP Services: BigQuery, Cloud Functions, Cloud Composer, Cloud Run, Cloud Storage
• Pub/Sub, SQL and relational databases
• Data modeling and ETL/ELT architecture
• Experience with Docker and Kubernetes is preferred
• Git‑based development
• Generative AI skills
• LLM application development
• Retrieval‑Augmented Generation (RAG)
• Prompt engineering
• Agentic AI frameworks
• LangChain, LangGraph, Semantic Kernel, LlamaIndex (or similar)
• Embeddings and vector databases
• AI evaluation, guardrails, and observability
• MCP, A2A, and AI orchestration concepts are preferred
• Snowflake or Databricks
• MLOps
• Event‑driven architecture
• Healthcare, Insurance, Banking, or Supply Chain domain experience
• ReactJS understanding

Roles and Responsibilities

• Design scalable cloud‑native data and AI platforms using Azure and GCP
• Develop backend services and REST APIs using Python/FastAPI/Flask
• Architect enterprise data platforms leveraging Azure Data Factory, Azure Functions, Databricks, BigQuery, Cloud Functions, Cloud Composer, and Cloud Storage
• Design and implement GenAI, RAG, and Agentic AI solutions using LLMs
• Integrate OpenAI, Azure OpenAI, Gemini, Claude, or similar LLMs into enterprise applications
• Design vector database architectures using Pinecone, FAISS, ChromaDB, Azure AI Search, or similar technologies
• Build document ingestion pipelines supporting PDF, Office documents, SharePoint, databases, and APIs
• Design authentication and authorization using OAuth2, Microsoft Entra ID, Managed Identity, and service principals
• Develop scalable microservices and API integrations with enterprise applications
• Define CI/CD pipelines using Azure DevOps or GitHub Actions
• Optimize cloud cost, scalability, observability, and security
• Lead architecture reviews and mentor engineering teams
• Collaborate with business stakeholders to translate requirements into technical solutions