Agentic AI Engineer Lead

CGI Group, Inc.; Pittsburgh (Allegheny County); On-site; USD 57,000 - 154,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive insurance options

401(k) plan and share purchase plan

Paid time off for vacation holidays

Job summary

CGI Group, Inc. is seeking an Agentic AI Engineer Lead to shape the design and delivery of AI automation for a major US Bank.

The role is onsite at client sites in Cleveland, OH, Pittsburgh, PA, or Dallas, TX, with a salary range of USD 57,100 to 154,300 per year. You will blend strategic roadmap work with hands-on development to build AI agents capable of reasoning, planning, memory management, and autonomous task execution.

Qualifications

• Experience building Agentic AI on Azure Foundry and AWS Bedrock.

Responsibilities

• Lead AI automation roadmap with Scrum Master and Product Owner roles.

Skills

AI agents development

Roadmap backlog

Experience 5+ years

Azure Foundry

AWS Bedrock

Python

SQL

Pandas

Communication

Agile testing

Tools

Azure Foundry

AWS Bedrock

LangChain

LangGraph

MCP Server

Semantic Kernel

Git

Jira

Job description

At CGI Group, Inc., the Agentic AI Engineer Lead will shape the design and delivery of Agentic AI automation for a major US Bank. The role is onsite at client sites in Cleveland, OH, Pittsburgh, PA, or Dallas, TX, with a salary range of USD 57,100 to 154,300 per year. You will blend strategic roadmap work with hands-on development to build AI agents capable of reasoning, planning, memory management, and autonomous task execution.

Responsibilities

• Perform the AI Intent lead role which combines Scrum Master and Product Owner roles, to envision the AI automation roadmap
• Build AI agents capable of reasoning, planning, memory management, and autonomous task execution
• Should have hands on workflow configuration in Azure Foundry/AWS Bedrock
• Implement prompt engineering, agent orchestration, and tool-calling mechanisms
• Develop multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic Kernel
• Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses
• Develop scalable backend services and APIs to support AI agent operations
• Monitor agent performance, reliability and response quality
• Ensure responsible AI practices including security, governance, observability, and compliance
• Collaborate with data engineers, software developers, and business teams to deliver AI-driven automation solutions

Requirements

• Candidate should be good in AI Agents automation development process using Azure/AWS
• Excellent in creating AI product roadmap and backlog maintenance
• At least 5+ years in software development with Agentic AI implementation experience preferred
• Must be strong in Azure Foundry/AWS Bedrock related agentic automation implementation
• Excellent in development using Python, SQL , Pandas
• Good exposure to agile testing process
• Should have excellent communication skills to interact with stakeholders

Technologies

• Agentic AI
• AWS Bedrock
• Azure
• Azure Foundry
• LangChain
• LangGraph
• MCP Server
• Semantic Kernel
• Python
• SQL
• Pandas
• GIT
• Jira

Benefits

• Competitive compensation
• 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
<\/ul>