Application Developer - AI Technical Consultant - 9216

This approach combines AI-native ways of working, strong business understanding, and trust-led transformation.

We are looking for an AI Technical Consultant who can design and build intelligent AI agents and client-facing accelerators.

The candidate will work across:

• Large Language Models
• Agentic AI
• Retrieval-Augmented Generation
• APIs and microservices
• Enterprise data sources
• Cloud platforms
• Consulting workflows

The role requires strong technical development and client collaboration skills.

The candidate should be able to understand a business problem and quickly convert it into a practical AI solution.

The candidate will also be responsible for taking solutions from initial idea and prototype to deployment and operational support.

Role Objectives:

The AI Technical Consultant will:

• Own and lead the development of AI agents used by consultants.
• Build reusable AI accelerators for client engagements.
• Convert business requirements into practical AI solutions.
• Integrate AI agents with enterprise systems and data sources.
• Support rapid prototyping and production-ready implementation.
• Balance delivery speed, engineering quality, security, and business value.
• Promote responsible and controlled use of AI.

Primary Skills:

• Python and FastAPI
• TypeScript or Node.js
• REST API and GraphQL development
• Large Language Models
• Agentic AI development
• Retrieval-Augmented Generation
• Prompt engineering
• LangChain
• Microsoft Agent Framework
• OpenAI SDK
• Azure AI SDK
• Microsoft Copilot Studio
• Vector databases
• Enterprise system integration
• Docker
• Cloud platforms
• Git and CI/CD

Mandatory Skills:

AI and GenAI

• Hands-on experience in building LLM-based applications.
• Strong understanding of AI agents and agent workflows.
• Experience with prompt engineering and tool integration.
• Good knowledge of RAG architecture.
• Understanding of embeddings, chunking, retrieval, and grounding.
• Knowledge of LLM limitations and evaluation methods.
• Experience in implementing AI guardrails.
• Understanding of responsible AI principles.

Programming and Backend Development

• Strong hands-on experience in Python.
• Experience with FastAPI or a similar Python framework.
• Experience with TypeScript or Node.js is preferred.
• Strong API development experience.
• Good knowledge of REST services.
• Working knowledge of GraphQL.
• Ability to write clean, reusable, and maintainable code.
• Strong debugging and troubleshooting skills.

AI Frameworks and SDKs

Hands-on experience with one or more of the following:

• LangChain
• Microsoft Agent Framework
• OpenAI SDK
• Azure AI SDK
• Microsoft Copilot Studio
• equivalent LLM or agent frameworks

Vector Search and RAG Platforms

Experience with one or more of the following:

• Azure AI Search
• Qdrant
• Pinecone
• FAISS
• equivalent vector search platforms

Enterprise Integration

• Experience integrating multiple applications and data sources.
• Knowledge of authentication and authorisation.
• Experience with APIs, databases, and enterprise platforms.
• Ability to convert data and system capabilities into usable AI workflows.
• Understanding of secure enterprise integration patterns.

Cloud and Deployment

• Experience with Azure, AWS, or GCP.
• Hands-on experience with Docker.
• Understanding of container-based deployments.
• Familiarity with Git and CI/CD pipelines.
• Experience working across development and production-like environments.
• Basic understanding of application monitoring and observability.

Good-to-Have Skills

• Microsoft Copilot Studio.
• Azure AI Foundry or Azure AI services.
• Azure OpenAI.
• Claude, Gemini, or open-source LLM integration.
• Multi-agent architecture.
• Model Context Protocol.
• AI workflow orchestration.
• Knowledge graph or GraphRAG exposure.
• SQL and NoSQL database experience.
• SharePoint and Microsoft 365 integration.
• CRM integration experience.
• Azure Functions or AWS Lambda.
• Kubernetes exposure.
• Infrastructure-as-Code knowledge.
• Observability and monitoring tools.
• LLMOps or MLOps experience.
• AI evaluation frameworks.
• Experience in consulting accelerators or internal productivity tools.
• Basic user interface development knowledge.
• Experience with React or another modern frontend framework.

Tools and Technology Stack:

AI and Agent Platforms

• Microsoft Copilot Studio
• Azure AI
• Azure OpenAI
• LangChain
• Microsoft Agent Framew…