# Lead AI/ML Engineer - R01572495 at Brillio

Lead AI/ML Engineer - R01572495 at Brillio in Bangalore, Karnataka, India. Hybrid. Posted October 8, 2026.

- Company: Brillio
- Location: Bangalore, Karnataka, India
- Workplace: Hybrid
- Experience: 4+ years
- Posted: 2026-10-08
- Apply: https://jobs.lever.co/brillio-2/b05ea658-d84b-443f-bf22-0b1de431c518/apply
- Source: https://jobmagic.ai/jobs/lead-aiml-engineer-r01572495-brillio-cvszy6

## 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)

## Description

**Lead AI/ML Engineer**

### Job requirements

**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:**

- 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.

**Required Skills:**

- 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

**Preferred Skills:**

- 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

**Desired Qualifications:**

- Bachelor's 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)