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

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

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

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