Lead AI/ML Engineer - R01572495

Brillio 2; Bengaluru; On-site; INR 1,800,000 - 3,400,000; Full time

Job summary

Brillio 2 is seeking a Lead AI/ML Engineer with 4–6 years of experience to design, build, deploy, and operationalize enterprise-scale AI platforms in Bengaluru. You will work with Azure AI services, agentic frameworks, and RAG architectures to deliver production-grade AI solutions across Microsoft 365, Teams, SharePoint, and enterprise APIs.

The role emphasizes building scalable AI applications, monitoring and governance, and collaborating with cross-functional teams to iterate on AI

Qualifications

• Hands-on 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, scikit-learn, Keras).
• AI workflow orchestration tools (KubeFlow, BentoML).
• Model evaluation and observability tools (Evidently AI, Great Expectations).
• AI security and governance on Azure.

Responsibilities

• Design, build, and deploy AI agents and multi-agent systems using Azure AI services and agentic frameworks.
• Develop and operationalize agentic workflows integrating with M365, Teams, SharePoint, Dynamics 365, Power Platform, and APIs.
• Implement enterprise RAG solutions with Azure AI Search and vector search.
• Build production-ready AI apps with LLMs, RAG pipelines, memory, and workflow orchestration.
• Establish observability, guardrails, responsible AI controls, and security for production AI apps.
• Optimize latency, accuracy, reliability, scalability, and cost of AI apps.
• Collaborate with cross-functional teams to identify AI opportunities and prototype solutions.
• Contribute to internal best practices on agent architecture, prompting, and evaluation.

Skills

Azure AI services

Agentic frameworks

LLM development

RAG architectures

Vector search

Microsoft 365 integration

Python

TensorFlow / PyTorch

Observability tools

Azure security governance

Education

Bachelor's degree in Computer Science/Data Science/Statistics/Mathematics or related

Tools

Semantic Kernel

LangChain

LangGraph

AutoGen

KubeFlow

BentoML

Evidently AI

Great Expectations

Azure OpenAI

Azure AI Foundry

Azure Functions

AKS

Job description

Lead AI/ML Engineer

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)