GenAI & RAG Engineer – Azure AI Solutions (Sydney)

Tata Consultancy Services; Sydney; On-site; AUD 130,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Global exposure

Structured learning & certifications

Job summary

Tata Consultancy Services (TCS) Australia is seeking an AI Developer in Sydney to design and implement GenAI solutions, with emphasis on RAG, vector search, and secure cloud deployments. You will build AI agents, enable connectivity to enterprise systems, and guide pipelines for OCR, parsing and data enrichment.

You will work across Azure AI Studio, LangChain/Kernel based prompts, and next-gen ML tooling, while collaborating with financial services clients and internal teams to drive impactful

Qualifications

• Expertise with copilot studio multiagent and hands-on development in Github Copilot.
• Experience building RAG pipelines including chunking, hybrid search and rerankers.

Responsibilities

• Develop GenAI/RAG reference architectures on Azure.
• Develop AI agents and connect to enterprise systems via Power Automate.
• Design and deliver AI solutions for IT and Business Services.
• Pipeline work for PDF/image OCR, layout parsing, semantic chunking, and metadata enrichment.
• Implement vector + lexical hybrid search and semantic rerankers.
• Design prompts, context assembly and answer validation.
• Build secure, scalable deployments on AKS/Functions with CI/CD and observability.
• Enforce policy controls, content filtering and auditability.
• Translate business goals into technical roadmaps and mentor engineers.

Skills

Copilot multiagent

Github Copilot

RAG architectures

Key Vault / Managed Identity / Private

RBAC / VNET / networking

Cost optimization

LangChain / Semantic Kernel

Prompt engineering

Layout-aware ML

Table extraction / DocAI

Image embeddings (CLIP/BLIP)

Python / PySpark / Databricks

Azure AI Studio integrations

Tools

Azure AI Studio

Cohere

Bedrock

Vertex

Job description

Tata Consultancy Services (TCS) Australia is seeking an AI Developer in Sydney to design and implement GenAI solutions, with emphasis on RAG, vector search, and secure cloud deployments. You will build AI agents, enable connectivity to enterprise systems, and guide pipelines for OCR, parsing and data enrichment.

You will work across Azure AI Studio, LangChain/Kernel based prompts, and next-gen ML tooling, while collaborating with financial services clients and internal teams to drive impactful