IT AI ENGINEER

Job Description

Responsibilities

• Design, develop, and deploy AI/ML models and generative AI solutions into production environments using Azure AI Foundry, Azure OpenAI, and AKS-based microservice architectures.
• Build and maintain LLM-powered applications including prompt engineering frameworks, RAG pipelines, agent orchestration, and MCP (Model Context Protocol) server integrations.
• Collaborate with stakeholders to translate business requirements into AI proof-of-concept (POC) builds and production-ready features, including tooling for marketing, supply chain, and retail operations.
• Develop and maintain CI/CD pipelines for AI workloads using GitHub Actions and ArgoCD, adhering to enterprise AI governance, security, and SDLC standards.
• Implement responsible AI practices including model evaluation, bias detection, hallucination mitigation, observability, and audit logging across all AI services.
• Partner with security and infrastructure teams to ensure AI systems comply with Zero Trust principles, data privacy requirements, and enterprise identity standards via Entra ID and Azure Key Vault.
• Contribute to internal AI sandbox environments, enabling both professional and citizen developers to experiment with generative AI tools safely and within governance guardrails.
• Document AI solution architectures, API contracts, and integration patterns; present findings and recommendations to cross-functional teams and leadership.
  

Knowledge, Skills & Abilities Requirements

• 3+ years in software engineering or data science, with at least 1 year in AI/ML engineering or applied generative AI development.
• Bachelor’s degree in computer science, Data Science, Engineering, or a related technical field required.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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