Agentic AI Engineer
About the role
We are seeking highly skilled Agentic AI Engineers to design, develop, and deploy autonomous AI agents. The ideal candidate will have strong expertise in prompt engineering, agent orchestration, and AI-driven workflow automation using platforms such as Azure AI Foundry or AWS Bedrock.
Responsibilities
- Design and develop autonomous AI agents focused on automation
- Build and configure AI workflows using Azure AI Foundry and/or AWS Bedrock
- Implement advanced prompt engineering, tool-calling mechanisms, and agent orchestration strategies
- Develop multi-agent workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, or MCP Server
- Design and implement Retrieval-Augmented Generation (RAG) pipelines for context-aware AI applications
- Develop scalable backend services and APIs to support AI agent operations and integrations
- Integrate AI agents with enterprise data sources, APIs, and business workflows
- Monitor and optimize agent performance, reliability, observability, and response quality
- Ensure responsible AI practices including governance, security, compliance, and risk management
- Collaborate with cross-functional teams including data engineers, software developers, architects, and business stakeholders to deliver AI-driven automation solutions
Requirements
- To Be Successful In This Role Preference is 1-4 years of experience
- Strong experience in Python, SQL, and Pandas
- Hands-on experience with Azure AI Foundry and/or AWS Bedrock
- Experience in prompt engineering and LLM-based application development
- Familiarity with AI orchestration frameworks such as: LangChain, LangGraph, Semantic Kernel, MCP Server
- Experience developing RAG-based AI solutions and vector search implementations
- Knowledge of vector databases such as Pinecone, FAISS, or ChromaDB
- Experience with backend API frameworks such as Flask or FastAPI
- Strong understanding of SQL/NoSQL databases
- Exposure to Hadoop ecosystem technologies including Hive
- Understanding of responsible AI, governance, observability, and enterprise AI security practices
Qualifications
To be considered for this role, candidates should have:
- Preference for 1-4 years of experience
- Strong experience in Python, SQL, and Pandas
- Hands-on experience with Azure AI Foundry and/or AWS Bedrock
- Experience in prompt engineering and LLM-based application development
- Familiarity with AI orchestration frameworks such as: LangChain, LangGraph, Semantic Kernel, MCP Server
- Experience developing RAG-based AI solutions and vector search implementations
- Knowledge of vector databases such as Pinecone, FAISS, or ChromaDB
- Experience with backend API frameworks such as Flask or FastAPI
- Strong understanding of SQL/NoSQL databases
- Exposure to Hadoop ecosystem technologies including Hive
- Understanding of responsible AI, governance, observability, and enterprise AI security practices
Skills
The successful candidate will possess the following skills:
- Python
- SQL
- Pandas
- Azure AI Foundry
- AWS Bedrock
- Prompt engineering
- LLM-based application development
- AI orchestration frameworks such as: LangChain, LangGraph, Semantic Kernel, MCP Server
- RAG-based AI solutions
- Vector databases such as Pinecone, FAISS, or ChromaDB
- Backend API frameworks such as Flask or FastAPI
- SQL/NoSQL databases
- Hadoop ecosystem technologies including Hive
- Responsible AI, governance, observability, and enterprise AI security practices
Benefits
CGI provides a competitive compensation package, comprehensive insurance options, matching contributions through the 401(k) plan and the share purchase plan, paid time off for vacation, holidays, and sick time, paid parental leave, learning opportunities and tuition assistance, wellness and well-being programs, and more.
Pay
A reasonable estimate of the current range for this role in the U.S. is $89,600.00 - $172,400.00.
Schedule
This role is available on a hybrid schedule, with flexibility on relocation if needed.