Dimension Data

1 week ago

AI Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Design and deploy scalable software solutions using modern cloud architectures, with a focus on agentic AI systems built on LLM-based autonomous agents. Build GenAI capabilities (LLMs, RAG, embeddings, prompt engineering) and integrate models into applications using Azure OpenAI and agent frameworks like LangChain and Semantic Kernel. Deliver production-ready, secure AI and data platform solutions with strong data engineering, ETL/ELT pipelines, and real-time/batch processing using Spark/Databricks.

Location: India

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, develop, and deploy scalable software solutions using modern architectures and cloud platforms.
•Build and implement agentic AI systems with LLM-based autonomous agents, multi-agent orchestration, and orchestration workflows.
•Develop GenAI and data capabilities including LLMs, RAG, embeddings, prompt engineering, and data engineering pipelines for structured/unstructured data.
•Integrate AI models into applications using tools such as Azure OpenAI with frameworks like LangChain or Semantic Kernel.
•Architect and optimize data platforms for real-time and batch processing, ensuring data quality, governance, security, and scalable system performance.

Key Requirements

•6+ years of software development experience, with strong Python proficiency.
•Hands-on experience building agentic AI systems (LLM-based autonomous agents, multi-agent orchestration, reasoning and orchestration workflows).
•2+ years of GenAI experience including LLMs, RAG, embeddings, and prompt engineering.
•Strong data engineering background with ETL/ELT pipelines, data modeling/warehousing, and streaming plus batch processing.
•Experience integrating LLM/GenAI into applications using frameworks such as LangChain, Semantic Kernel, or similar.

Experience:6+ yearsGenAIAI copilotsMLOpsLLMOps

Education:Bachelor's in computer science/IT

Skills:Problem-solvingOwnership mindsetClient-facing collaborationPerformance optimizationSystem scalability focus

Tech Stack:PythonAzureAzure OpenAICognitive ServicesAzure Data FactoryAzure SynapseDatabricksSparkLangChainSemantic KernelLlamaIndexRAGEmbeddingsPrompt engineeringVector databasesETLELTData pipelinesAPI designMicroservices

Company Brief

Dimension Data

Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: London, United Kingdom

Founded: 1983

Website LinkedIn

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Dimension Data

1 week ago

AI Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: India

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, develop, and deploy scalable software solutions using modern architectures and cloud platforms.
•Build and implement agentic AI systems with LLM-based autonomous agents, multi-agent orchestration, and orchestration workflows.
•Develop GenAI and data capabilities including LLMs, RAG, embeddings, prompt engineering, and data engineering pipelines for structured/unstructured data.
•Integrate AI models into applications using tools such as Azure OpenAI with frameworks like LangChain or Semantic Kernel.
•Architect and optimize data platforms for real-time and batch processing, ensuring data quality, governance, security, and scalable system performance.

Key Requirements

•6+ years of software development experience, with strong Python proficiency.
•Hands-on experience building agentic AI systems (LLM-based autonomous agents, multi-agent orchestration, reasoning and orchestration workflows).
•2+ years of GenAI experience including LLMs, RAG, embeddings, and prompt engineering.
•Strong data engineering background with ETL/ELT pipelines, data modeling/warehousing, and streaming plus batch processing.
•Experience integrating LLM/GenAI into applications using frameworks such as LangChain, Semantic Kernel, or similar.

Experience:6+ yearsGenAIAI copilotsMLOpsLLMOps

Education:Bachelor's in computer science/IT

Skills:Problem-solvingOwnership mindsetClient-facing collaborationPerformance optimizationSystem scalability focus

Company Brief

Dimension Data

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: London, United Kingdom

Founded: 1983

Website LinkedIn