Azure AI Engineer
Summary
Build and deploy enterprise-grade AI agents and RAG systems on Azure, using Python, LangChain, and Azure OpenAI to power search and decision-support platforms.
- 7+ years of experience in AI/GEN AI/ML engineering, with strong expertise in Azure cloud environments
- Proven track record delivering end-to-end AI solutions in production
- Designing and implementing RAG (Retrieval-Augmented Generation) architectures
- Designing and building AI agents using frameworks such as LangChain, Semantic Kernel, Azure OpenAI Service, and Azure Open AI
- Experience doing integration with enterprise services such as Azure Cognitive Services, Azure Data Lake, Azure Event Hub
- Experience deploying scalable solutions on Azure Kubernetes Service (AKS)
- Strong programming skills in Python
- Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field
What You’ll Work On
- Build enterprise-grade AI agents leveraging internal data and workflows
- Develop AI-powered search, discovery, and insight-generation platforms
- Design scalable GenAI decision-support systems for business and executive users
- Implement secure, governed AI solutions in a regulated enterprise environment
- Operationalize AI solutions that deliver real, measurable business value
Nice to Have Skills & Experience
- Experience with Azure Foundry-based RAG systems
- Familiarity with NLP / text analytics applications
- Experience contributing to open-source AI projects or research
- Experience with GitHub-based development workflows
- Exposure to enterprise-scale AI deployments and governance frameworks
Job Description
We are hiring a very hands‑on expert who can take solutions from concept → production → scale
- Comfortable working in fast-evolving and ambiguous AI environments
- Passionate about building secure, reliable, and responsible AI systems
- Strong collaborator who thrives in cross-functional teams
- Motivated to solve complex business problems using advanced AI
We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.
Vacancy: This posting is for a currently vacant role, and the successful candidate will be hired into an existing open position.