Lead AI Agent Engineer *

CGI

• $86K — $123K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience implementing enterprise AI coding platforms like GitHub Copilot and OpenAI Codex.
  • Proficient in building and configuring AI agents, custom assistants, and agent workflows.
  • In-depth knowledge of Model Context Protocol (MCP) and its security aspects.
  • Strong Python skills, particularly for REST APIs and automation utilities.
  • Extensive experience with AWS services, especially Amazon Bedrock and IAM.
  • Understanding of enterprise identity management principles and protocols like OAuth 2.0 and SSO.
  • Experience with ensuring least privilege security for autonomous agents.

Responsibilities

  • Implement and support AI coding agent capabilities across the software development lifecycle.
  • Configure AI development platforms and manage agent integrations and access controls.
  • Establish validation and security frameworks for AI agents.
  • Troubleshoot complex integrations within the cloud and AI landscapes.
  • Provide technical leadership for engineering teams adopting AI technologies.
  • Monitor and manage ongoing operations of AI platforms and develop automated evaluation frameworks.

Benefits

  • Competitive compensation offered from day one.
  • Comprehensive health and insurance options.
  • 401(k) matching contributions and a share purchase plan.
  • Generous paid time off including vacation and holidays.
  • Paid parental leave support.
  • Opportunities for professional learning and tuition assistance.
  • Wellness and well-being programs available.
Full Job Description
Find similar career opportunities

Lead AI Agent Engineer *

Category: Software Development/ Engineering

Main location: United States, Louisiana, Lafayette

Position ID:J0926-2129

Employment Type: Full Time

Position Description:

CGI is seeking a Lead AI Agent Engineer to implement, administer, secure, and support enterprise AI coding agent and developer productivity platforms within a large scale financial services environment.

The ideal candidate has experience taking AI coding agent capabilities beyond proofs of concept into secure, production enterprise environments. This individual will work independently on complex integrations, establish technical standards and controls, develop validation and automation frameworks, and provide technical leadership to engineering teams adopting AI assisted development technologies.

This position is required in one of the following locations: Birmingham, AL, Knoxville, TN or Lafayette, LA

Your future duties and responsibilities:

This role requires strong hands on experience with OpenAI Codex/coding agents, GitHub Copilot, AWS, Amazon Bedrock, Model Context Protocol (MCP), Python, and enterprise identity and access management. The engineer will support production AI agent capabilities across the software development lifecycle, including platform configuration, agent integrations, access controls, functional and security validation, troubleshooting, and ongoing operational management.

Required qualifications to be successful in this role:

. 5+ years hands on experience implementing and administering enterprise AI coding platforms, including GitHub Copilot, OpenAI Codex/coding agents, or comparable technologies.
. Strong experience building and configuring AI agents, custom assistants, agent tools, integrations, context management, orchestration, and multi agent workflows.
. Hands on knowledge of Model Context Protocol (MCP), including MCP server implementation, authentication, authorization, permissions, identity propagation, credential management, and secure tool access.
. Strong Python development skills, including REST APIs, automation utilities, integration services, agent services, test harnesses, and validation frameworks.
. Strong AWS experience, particularly Amazon Bedrock, Bedrock Agents, Bedrock AgentCore, IAM, Lambda, API Gateway, ECS, CloudWatch, Secrets Manager/Parameter Store, ALB, and VPC/networking.
. Strong understanding of enterprise identity and access management (IAM), including OAuth 2.0, OIDC, SAML, SSO, SCIM, RBAC, JWT, service identities, AWS IAM/Identity Center, and Active Directory/Entra ID.
. Experience implementing least privilege security controls for autonomous agents, users, repositories, APIs, and tools.
. Experience validating AI agent security, including authorization boundaries, token handling, secrets exposure, privilege escalation, cross user/project access, and prompt injection/tool abuse scenarios.
. Experience developing automated agent evaluation, regression testing, security validation, or test frameworks.
. Experience configuring enterprise policies, repository access, model settings, agent permissions, usage controls, and security controls for developer AI platforms.
. Demonstrated experience supporting production developer platforms or AI/ML platforms used across multiple engineering teams.
. Ability to troubleshoot complex cloud, AI agent, identity, API, and platform integrations.
. Technical leadership experience supporting complex enterprise implementations and establishing engineering standards.

Desired Skillset:

. Experience with Bash/Shell scripting or PowerShell.
. Experience with asynchronous Python, structured logging, and Python API frameworks.

Educational Requirements:
Bachelor's degree in Computer Science, Information Systems, or a related field.

Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $86,500.00 $123,200.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include: . 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

Skills:
  • Amazon Web Services Cloud
  • GitHub
  • Identity and access mgt (IAM)
  • Python
  • BASH
  • Shell Script


Similar Jobs

More Jobs at CGI

More Finance & Insurance Jobs

Find similar Lead AI Agent Engineer * jobs: