Lead AWS AI Platform Engineer

CGI

$79K — $156K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience designing and building AI platforms
  • Leadership experience with small teams
  • Hands-on AWS cloud engineering and platform operations
  • 6+ years in cloud platform engineering or AI/ML enablement
  • Experience with Bedrock, SageMaker, Lambda, and other AWS services
  • Strong programming/scripting skills, especially in Python
  • Familiarity with AI architecture patterns, including RAG and model lifecycle understanding

Responsibilities

  • Architect and maintain AWS based AI/GenAI platform capabilities
  • Enable rapid AI experimentation, POCs, and production-ready AI solutions
  • Implement cloud infrastructure using IaC and DevOps practices
  • Support structured and unstructured data integration for AI solutions
  • Enable GenAI patterns including prompt engineering and model orchestration
  • Partner with cross-functional teams including security, risk, and data
  • Create technical documentation and governance artifacts

Benefits

  • Competitive compensation
  • Comprehensive insurance options
  • 401(k) matching contributions
  • Paid time off for vacation, holidays, and sick leave
  • Paid parental leave
  • Learning opportunities and tuition assistance
  • Wellness and well-being programs
Full Job Description
Lead AWS AI Platform Engineer

Category: Software Development/ Engineering

Main location: United States, Ohio, Cincinnati

Position ID:J0626-2681

Employment Type: Full Time

Position Description:

Make an impact like never before.

We're growing rapidly and are looking for a Lead AWS AI Platform Engineer to design, build, and support secure, scalable, and governed AI/ML and GenAI platforms. The engineer will help enable AI experimentation, POCs, model development, and enterprise adoption while ensuring alignment with security, risk, governance, and regulatory standards.

This is a hybrid role which requires someone local to Cincinnati, Ohio, willing to be on-site one to two days per week.

Your future duties and responsibilities:
• Architect and maintain AWS based AI/GenAI platform capabilities. Enable rapid AI experimentation, POCs, and production ready AI solutions. Build reusable frameworks, reference architectures, guardrails, and platform standards.
• Support AWS AI/ML services
• Implement cloud infrastructure using IaC and DevOps practices.
• Support structured and unstructured data integration for AI solutions.
• Enable GenAI patterns, including prompt engineering, RAG, model orchestration, Agentic AI, and AI evaluation frameworks.
• Partner with engineering, security, risk, infrastructure, data, and business teams.
• Create technical documentation, governance artifacts, operational procedures, and best practices.
• Ensure AI solutions follow responsible AI, security, compliance, and risk standards.

Required qualifications to be successful in this role:
• 4+ years of proven experience designing and building AI platforms.
• Proven experience building AI capabilities with RAG architecture.
• Must have experience leading small teams.
• Strong hands-on AWS cloud engineering and platform operations experience.
• 6+ years of experience in cloud platform engineering, AI/ML enablement, platform architecture, or enterprise technology delivery.
• Experience operationalizing AI/ML or GenAI platforms in secure enterprise environments.
• Experience working with cross functional teams in regulated or governed environments.
• Experience with Bedrock, SageMaker, Lambda, S3, API Gateway, IAM, CloudWatch.
• IaC and CI/CD experience using tools such as Terraform, CloudFormation, Jenkins, GitHub
• Strong programming/scripting skills, especially with Python.
• Familiarity with SQL, APIs, automation scripting, and integration patterns.
• Knowledge of AI frameworks and architecture patterns, including: LangChain, LlamaIndex, MCP, Vector databases, and RAG architecture
• Understanding of model lifecycle, observability, AI evaluation, and responsible AI practices.
• Experience with Docker, Terraform, Git/GitHub, CI/CD pipelines, and DevOps practices.
• Bachelor's degree in Computer Science, IT, Engineering, Data Science, Math, or 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 $79,600.00 $156,700.00.

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

CGI anticipates accepting resumes through July 31, 2026. #LI-AH9

Skills:
  • Amazon Web Services Cloud
  • Artificial Intelligence
  • AWS AI Services
  • AWS Machine Learning
  • AWS Machine Learning
  • DevOps


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