# Lead AI/ML Engineer - R01572495 Source: https://realanalystjobs.com/job/lead-ai-ml-engineer-r01572495-brillio-617cb3ca Lead AI/ML Engineer - R01572495 at Brillio, an on-site role based in Bengaluru, India. Experience level: 6 Years. Posted on 8 October 2026, read from Brillio's own careers page (Lever), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Brillio](https://realanalystjobs.com/companies/brillio) - Location: Bengaluru, India - Work mode: On-site - Posted: Oct 8, 2026 - Employment type: Full time - Experience level: 6 Years - Source: Brillio's careers page (Lever), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python), AWS, Azure, [R](https://realanalystjobs.com/skills/r) ## Visa sponsorship The posting does not say. Brillio had H-1B petitions approved for 165 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/brillio#h1b-record) ## About this role 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) Description from Brillio's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/lead-ai-ml-engineer-r01572495-brillio-617cb3ca) and use Apply now there to reach the employer's application. The listing is re-checked against Brillio's careers page daily and removed when it closes. ## Brillio 27 open analyst roles on Real Analyst Jobs. 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