AI Foundry Engineer

Datamatics Technologies; India; On-site; INR 7,667,000 - 10,733,000; Full time

Job summary

Datamatics Technologies is hiring an AI Foundry Engineer to design and implement enterprise AI solutions using Microsoft Foundry and Azure AI services. You will build AI agents, RAG solutions, and integration workflows that connect enterprise data with business applications.

The ideal candidate has 6+ years in software/AI engineering (including 2+ years with generative AI/Azure AI) and a proven PoC-to-production track record, with strong Python skills and security awareness.

Qualifications

• 6+ years in software, data, or AI engineering including PoC-to-production delivery.
• Hands-on experience delivering generative AI or Azure AI solutions.
• Experience with Microsoft Foundry, Foundry Models, Agent Service, SDKs.

Responsibilities

• Translate business use cases into scalable, production-ready AI solutions.
• Design, develop, and operate RAG solutions, AI agents, prompts, tools, and orchestration workflows.
• Integrate structured and unstructured enterprise data.
• Evaluate and monitor model and agent performance.
• Implement security, responsible AI, and content-safety controls.
• Prepare technical documentation and knowledge-transfer materials.

Skills

English

Arabic (preferred)

Tools

Python

Microsoft Foundry

Azure AI

Azure OpenAI

REST APIs

Git

CI/CD

Azure Functions

App Service

Container Apps

AKS

RBAC

Key Vault

Job description

Job Description:

AI Foundry Engineer

Job Title: AI Foundry Engineer
Experience Required: 6+ years (including 2+ years hands-on Generative AI / Azure AI)
Model: Onsite (Abu Dhabi)
Project Location: Abu Dhabi – UAE
Language: Arabic speaking preferred, English required
Start Date: As soon as possible
Duration: 6–12 months

About the Role

We are seeking an AI Foundry Engineer to design and implement enterprise AI and generative AI solutions using Microsoft Foundry and Azure AI services. You will build AI agents, retrieval-augmented generation (RAG) solutions, and integration workflows that connect enterprise data with business applications. The ideal candidate has taken enterprise AI solutions from proof of concept through to production and is well-versed in security, responsible AI, and content-safety controls.

Key Responsibilities:

• Translate business use cases into scalable, production-ready AI solutions.
• Design, develop, and operate RAG solutions, AI agents, prompts, tools, and orchestration workflows.
• Integrate structured and unstructured enterprise data.
• Evaluate and monitor model and agent performance.
• Implement security, responsible AI, and content-safety controls.
• Prepare technical documentation and knowledge-transfer materials.

Must Have:

• Experience: Minimum 6 years of software, data, or AI engineering experience, including at least 2 years of hands-on experience delivering generative AI or Azure AI solutions.
• Production track record: Experience taking enterprise AI solutions from PoC through production.
• Microsoft Foundry: Hands-on experience with Microsoft Foundry, Foundry Models, Agent Service, SDKs, model deployment, evaluation, tracing, and monitoring.
• Python: Strong Python development skills.
• GenAI / RAG: Experience with Azure OpenAI, prompt engineering, embeddings, vector search, RAG, tool calling, and agent orchestration.
• Azure AI Search: Experience with Azure AI Search and enterprise data integration.
• DevOps: Experience with REST APIs, Git, CI/CD, and Azure DevOps.
• Security & Responsible AI: Knowledge of Azure identity, RBAC, Key Vault, private networking, data security, responsible AI, and Azure AI Content Safety.
• Deployment: Experience deploying solutions through Azure Functions, App Service, Container Apps, or AKS.
• Language: English required; Arabic speaking preferred.
• Availability: Onsite in Abu Dhabi; able to start as soon as possible.

Good to Have:

• Microsoft Azure AI Engineer Associate certification.
• Experience delivering secure enterprise AI solutions and working with multidisciplinary teams.
• Experience with operational, energy, financial, asset-performance, forecasting, optimization, or predictive‑maintenance use cases.

Requirements: