Build enterprise AI agents using Microsoft Copilot Studio and Azure AI Foundry. Develop topics, triggers, routing, fallback handling, generative answers, RAG, knowledge grounding, citations, metadata-based retrieval, multilingual capabilities, and prompts. Integrate agents with Power Automate, SharePoint, Dataverse, Teams, Azure AI Search, and Azure OpenAI or Foundry models. Support troubleshooting, security, environments, ALM, and DEV/UAT/PROD deployments.
Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.
What You'll Be Doing:
- Working with Data Science teams to implement Machine Learning models into production
- Design, delivery GenAI solutions
- Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency
- Design, delivery and management of industrialized processing pipelines
- Defining and implementing best practices in ML models life cycle and ML operations/LLM operations
- Implementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practices
- Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations
- Gathering technical requirements & estimating planned work
- Presenting solutions, concepts and results to internal and external clients
- Creating technical documentation
What We're Looking For:
- At least 5+ years of experience in Microsoft Copilot Studio / Azure AI Foundry with hands-on experience in building enterprise AI agents.
- Strong knowledge of Topics, triggers, variables, routing, fallback handling, Generative Answers, RAG, and knowledge grounding is required.
- Should be comfortable integrating with Power Automate, SharePoint, Dataverse, Microsoft Teams, Azure AI Search, and Azure OpenAI/Foundry models.
- Experience with citations, metadata-based retrieval, multilingual handling, prompt/instruction design, and troubleshooting agent.
- Understanding of Power Platform ALM, Azure services, security, environments, and DEV/UAT/PROD deployments would be an advantage.
Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.
We offer:
- Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
- “Office as an option” model. You can choose to work remotely or in the office, depending on your location.
- Flexibility regarding working hours and your preferred form of contract.
- Comprehensive online onboarding program with a “Buddy” from day 1.
- Cooperation with top-tier engineers and experts.
- Unlimited access to the Udemy learning platform from day 1.
- Certificate training programs. Lingarians earn 500+ technology certificates yearly.
- Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
- Internal Gallup Certified Strengths Coach to support your growth.
- Grow as we grow as a company. 76% of our managers are internal promotions.
- A diverse, inclusive, and values-driven community.
- Autonomy to choose the way you work. We trust your ideas.
- Create our community together. Refer your friends to receive bonuses.
- Activities to support your well-being and health.
- Plenty of opportunities to donate to charities and support the environment.
- Modern office equipment. Purchased for you or available to borrow, depending on your location.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the architecture, development, and productionization of AI/ML and GenAI solutions for healthcare operations. Responsibilities include building clinical and claims data pipelines, developing LLM and RAG applications, implementing MLOps and LLMOps, ensuring HIPAA-compliant governance, translating business needs into technical roadmaps, communicating with stakeholders, and mentoring engineers.
Top Skills:
AirflowAWSAzureAzure MlBigQueryCi/CdDaskDatabricksDockerFaissGCPGitGoHugging FaceJavaKafkaKubernetesLangchainLlamaindexMlflowNeo4JNumpyPandasPgvectorPineconePrefectPytestPythonPyTorchSagemakerScalaSnowflakeSparkSQLTensorFlowTerraformTransformersVertex Ai
Information Technology • Software • Business Intelligence
Implement enterprise ML and GenAI solutions in production, including AI agents, LLM automation, RAG, knowledge grounding, and industrialized processing pipelines. Establish ML lifecycle, MLOps, and LLMOps best practices; integrate Microsoft AI and Power Platform services; support deployments across environments; gather requirements; estimate work; present solutions; and document technical implementations.
Top Skills:
Azure Ai FoundryAzure Ai SearchAzure OpenaiDataverseLlmLlmopsMicrosoft Copilot StudioMicrosoft Power AutomateMicrosoft TeamsMlopsPower Platform AlmRagSharepoint
Information Technology • Software • Business Intelligence
Implement machine learning models in production and design enterprise GenAI, LLM, and AI automation solutions. Build and manage industrialized processing pipelines, establish ML lifecycle and MLOps/LLMOps best practices, integrate Microsoft AI and Power Platform services, and support data science teams. The role also involves gathering requirements, estimating work, presenting technical solutions, troubleshooting AI agents, and creating documentation.
Top Skills:
AzureAzure Ai FoundryAzure Ai SearchAzure OpenaiDataverseGenerative AiLarge Language ModelsLlmopsMachine LearningMicrosoft Copilot StudioMicrosoft TeamsMlopsPower AutomatePower Platform AlmRagSharepoint
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
