Lead AWS AI Platform Engineer

CGI Technologies and Solutions, Inc.
Cincinnati, OH, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$79,600.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon S3 Application Frameworks Computing Platforms Architectural Patterns Cloud Computing Computer Programming Continuous Integration DevOps Github
+18 more
Identity and Access Management Python (Programming Language) Azure Machine Learning SQL Databases Unstructured Data Scripting Cloud Platform System Prompt Engineering Cloudformation AI Platforms Information Technology Virtual Agents Functional Programming Cloudwatch Api Gateway Terraform Docker Jenkins

Job description

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.

Requirements

  • 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., * Amazon Web Services Cloud
  • Artificial Intelligence
  • AWS AI Services
  • AWS Machine Learning
  • AWS Machine Learning
  • DevOps

Benefits & conditions

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

About the company

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team-one of the largest IT and business consulting services firms in the world.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · WWC 2023

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · WWC Europe 2026

3:45 min

Fusing developer experience and platform engineering for agentic SDLC

Julia Kordick Julia Kordick · WWC Europe 2026

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · WWC Europe 2026

Videos

See all

Related articles

See all