AI Technical Lead

Dimension Data
Anywhere
Full timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Mentoring","Code review","Architecture discussions","Technical communication","Sprint execution","Prompt engineering"]

Architect and deliver multi-product AI systems spanning APIs, data flows, cloud infrastructure, and security. Design shared AI service layers for OCR, NLP, embeddings, and document parsing, and lead LLM/RAG/agent pipeline design with prompt engineering and evaluation. Bridge research prototypes into production-grade deployable services, own CI/CD and code quality processes, and mentor engineers through architecture reviews while communicating technical trade-offs to stakeholders.

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FursaFursa
Dimension Data
Dimension Data
2 months ago

AI Technical Lead

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 days agoStatus: Live

Job Summary

Architect and deliver multi-product AI systems spanning APIs, data flows, cloud infrastructure, and security. Design shared AI service layers for OCR, NLP, embeddings, and document parsing, and lead LLM/RAG/agent pipeline design with prompt engineering and evaluation. Bridge research prototypes into production-grade deployable services, own CI/CD and code quality processes, and mentor engineers through architecture reviews while communicating technical trade-offs to stakeholders.
Location: Anywhere
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Architect multi-product AI systems across APIs, data flows, cloud infrastructure, and security.
  • •Design shared AI service layers for OCR, NLP, embeddings, and document parsing.
  • •Drive LLM/RAG/agent pipeline design, prompt engineering, and model evaluation.
  • •Transition research PoCs into production-grade, deployable AI services.
  • •Own CI/CD pipeline health, code quality standards, and the PR review process while mentoring engineers through reviews.

Key Requirements

  • •5+ years software engineering with a product mindset, plus 2+ years leading AI/ML projects.
  • •Hands-on experience building LLM/RAG pipelines in production.
  • •Comfort with cloud AI services and multi-service architectures (designing across multiple systems).
  • •Experience with agent frameworks and agent pipeline/agent framework usage.
  • •Strong API design fundamentals and the ability to mentor engineers through architecture/code reviews.
Experience:5+ yearsAI/MLGenerative AILLM/RAGDocument intelligenceMultilingual OCRNLPComputer visionCloud computingETLAgentic workflows
Skills:MentoringCode reviewArchitecture discussionsTechnical communicationSprint executionPrompt engineering
Languages:EnglishJapanese
Tech Stack:GPTGeminiClaudeOSS modelsAzure OpenAIAWS BedrockGoogle Vertex AILangChainLangGraphLangFlowDeep AgentsGoogle ADKClaude Agent SDKOpenAI AgentKitCognitive ServicesVision LLMsPythonREST APIsMicroservicesOCR

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
WebsiteLinkedIn