Senior Specialist - Data Sciences

GDAS AI Foundry Engineer A unique opportunity to be a part of growing Deloitte Technology Solutions that drives consistency quality and efficiency of the services delivered to clients Overview The AI Foundry Engineer will build operationalize and optimize agentic AI applications on Azure AI Foundry owning the endtoend LLMOpsAgentOps lifecycle from agent deployment and evaluation to observability backed by CICD on Azure DevOps Key Responsibilities Build deploy and operationalize AI agents and GenAI solutions on Azure AI Foundry and Microsoft Copilot Studio Implement LLMOpsAgentOps pipelines for agent evaluation promptflow management observability and tracing Integrate RAG vector stores Azure AI Search and toolfunction calling into agentic workflows Automate modelagent training validation evaluation and deployment processes Build and maintain CICD pipelines and Azure DevOps environments for AIML and agent delivery Ensure scalability reliability security and costefficiency of AI pipelines and deployed agents Collaborate with developers and QA teams to integrate and ship AI agents Required Skills Qualifications Handson experience with Azure AI Foundry Microsoft Copilot Studio and Azure Machine Learning Experience operationalizing GenAIagentic solutions RAG vector search and promptflow management Knowledge of LLMOpsAgentOps agent evaluation observability tracing and monitoring Understanding of AIML and agent lifecycle management versioning and model governance Handson experience with Azure DevOps and CICD tools Familiarity with containerization Docker Kubernetes and cloud services Scripting skills PowerShell Python Bash Location Hyderabad Timings 11 AM to 8 PM Qualifications Education Bachelors or masters degree in computer science Engineering or a related field Technical Skill Set 
 Minimum of 8 years of experience in GenAIAIML and Python programming with a solid understanding of software engineering principles 
 Must have handson experience with Azure AI Foundry Microsoft Copilot Studio and Azure Machine Learning 
 AIML and Gen AI Technologies Azure OpenAI and OpenAI APIs openweight LLMs Llama 3x4 MistralMixtral Phi4 DeepSeek Qwen and agentic frameworks such as LangChainLangGraph Semantic Kernel Microsoft Agent Framework AutoGen LlamaIndex and Model Context Protocol MCP 
 Agentic AI Patterns RetrievalAugmented Generation RAG vector search and embeddings Azure AI Search prompt engineering toolfunction calling multiagent orchestration and guardrailsResponsible AI 
 LLMOpsAgentOps Agent and model evaluation observability and tracing Azure AI Foundry evaluations Application Insights promptflow management and production monitoring of AI agents 
 Business ServicesDomain Knowledge Integration with various enterprise systems managing large datasets and data processing techniques Auditing Understanding of compliance and security auditing within enterprise systems Interpersonal Skill Set Ability to think analytically solve problems and document solutions Ability to communicate complex ideas in a clear concise manner Work on multiple tasks in parallel while maintaining high quality standards Candidate must be processoriented with sound judgment demonstrate attention to detail Demonstrate flexibility to perform and deliver in an everchanging work environment Candidate must be energetic driven and committed to project success while working under tight time constraints and pressure Develop contingency plans where appropriate Identify opportunities for improvement and make constructive suggestions for change Continuously manage customer expectations