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Lead AIML Engineer R
Job Location:
Monthly Salary:
Posted:
17 October 2026 (2 days ago)
Posted:
Application Deadline:
14 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Lead AI/ML Engineer
Job requirements
- Design build and deploy AI agents and multi-agent systems using Azure AI services Azure OpenAI and modern agentic frameworks such as Semantic Kernel LangChain LangGraph and AutoGen.
- Develop and operationalize agentic workflows for business functions integrating AI solutions with Microsoft 365 Teams SharePoint Dynamics 365 Power Platform and enterprise APIs.
- Implement enterprise RAG solutions utilizing Azure AI Search vector search hybrid search and semantic ranking to enhance knowledge retrieval and business decision-making.
- Build production-ready AI applications leveraging LLMs RAG pipelines tool/function calling memory systems and workflow orchestration for scalable secure and reliable enterprise deployment.
- Establish observability guardrails responsible AI controls evaluation security and monitoring for AI applications in production environments.
- Optimize agent and LLM applications for latency accuracy reliability scalability security and cost applying advanced techniques and metrics.
- Collaborate with cross-functional teams to identify AI opportunities rapidly prototype solutions and iterate based on user feedback.
- Contribute to internal best practices around agent architecture prompting RAG model selection evaluation and AI engineering standards.
- Hands-on experience with Azure AI services Azure OpenAI and Azure AI Foundry
- Expertise in agentic frameworks (Semantic Kernel LangChain LangGraph AutoGen)
- LLM application development and prompt engineering
- Enterprise RAG architectures and vector search technologies
- Integration with Microsoft 365 Teams SharePoint Dynamics 365 Power Platform and APIs
- Python programming for AI/ML solutions
- ML frameworks (TensorFlow PyTorch Sci-Kit Learn Keras)
- AI workflow orchestration tools (KubeFlow BentoML)
- Model evaluation and observability tools (Evidently AI Great Expectations)
- AI security and governance on Azure
- Experience with Azure Functions Azure Container Apps Azure Kubernetes Service (AKS) and Azure Storage
- Proficiency in R and R Studio for statistical computing
- Knowledge of SAS or SPSS for advanced statistical modeling
- Familiarity with microservices event-driven architectures and enterprise integrations
- Expertise in developing reusable agent frameworks prompt libraries and deployment patterns
- Bachelors degree in Computer Science Data Science Statistics Mathematics or a closely related discipline
- Certification in Machine Learning or Data Science from a recognized institution (e.g. TensorFlow Developer Certificate AWS Certified Machine Learning Specialty Microsoft Certified: Azure AI Engineer Associate)
- Certification in statistical analysis tools or platforms (e.g. SAS Certified Statistical Business Analyst)
Experience Range: With at least 4 to 6 years of experience designing building and operationalizing enterprise-scale AI platforms including hands-on expertise in agentic AI LLMs and Azure-based solutions. Key Responsibilities:
Required Skills:
Preferred Skills:
Desired Qualifications:
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
