- Company Name
- PDSSOFT INC.
- Job Title
- Artificial Intelligence Engineer/ AI Engineer
- Job Description
-
**Job Title:** AI Engineer
**Role Summary:**
Design, develop, and deploy enterprise‑grade AI solutions on Microsoft Azure, leveraging Azure AI Foundry, Azure OpenAI Service, and MLOps pipelines. Drive prompt engineering, secure integration of generative AI into business workflows, and lifecycle management of models.
**Expectations:**
- Deliver scalable, secure AI products aligned with enterprise governance.
- Collaborate with cross‑functional teams to translate business requirements into AI capabilities.
- Maintain high code quality and continuous delivery pipelines.
**Key Responsibilities:**
- Build and train machine learning models using Azure AI Foundry.
- Deploy models across Azure services and maintain production pipelines.
- Engineer prompts and applications for Azure OpenAI Service.
- Design and implement MLOps CI/CD workflows for model versioning and monitoring.
- Integrate AI solutions into enterprise data, security, and governance frameworks.
- Conduct security reviews and enforce access controls for AI artifacts.
- (Optional) Configure AI components within SAP Finance, Treasury, and Payout modules.
- Utilize Azure Fabric (OneLake, data engineering pipelines) for data ingestion and semantic processing.
- Collaborate with DevOps teams to align IaC and pipeline practices.
**Required Skills:**
- Azure AI Foundry – model development & deployment.
- Azure OpenAI Service – prompt engineering, workflow integration.
- MLOps – pipeline orchestration, lifecycle management.
- Microsoft Cloud Platform (Azure, security, governance, data services).
- Secure, scalable architecture design for AI solutions.
- Familiarity with Azure Fabric (OneLake), data engineering pipelines, NLP, and semantic features.
- CI/CD, DevOps tooling, and infrastructure as code.
- Strong programming proficiency (Python, Azure SDKs).
- (Good to have) SAP Finance, Treasury, or Payout module experience.
**Required Education & Certifications:**
- Bachelor’s (or higher) in Computer Science, Software Engineering, Data Science, or related field.
- Microsoft Azure certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect, Azure DevOps Engineer) preferred.
- Security or governance certifications (e.g., CISSP, ISO 27001 Lead) desirable.