Fifth Third Bancorp

2 weeks ago

Lead AWS Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Architect, build, and operate secure, governed, and scalable AWS platform capabilities that enable enterprise AI and GenAI adoption. You’ll design AI enablement environments and reusable architectural patterns, integrate structured and unstructured data, and support model development through AWS services like Bedrock and SageMaker. Partner with engineering, security, risk, data, and business teams to establish governance standards, drive responsible AI practices, and modernize platform capabilities for resiliency and regulatory alignment.

Location: Cincinnati

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Enable, architect, and support secure, governed, scalable AI/GenAI platform capabilities that accelerate enterprise AI adoption across the bank.
•Design and maintain AI enablement environments, reusable architectural patterns, and integration of structured and unstructured data sources for POCs and production readiness.
•Architect, provision, and operate AWS cloud-based AI platform infrastructure and shared services using Infrastructure as Code and automation pipelines to ensure scalability and resiliency.
•Enable and operationalize AWS AI/ML and GenAI services (e.g., Bedrock, SageMaker) and related platform capabilities within governed enterprise environments.
•Develop governance, evaluation, and monitoring frameworks to support responsible AI usage, model validation, observability, and output quality assessments; create technical documentation and guidance.

Key Requirements

•Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, Mathematics, or a related discipline.
•6+ years of experience in cloud platform engineering, AI/ML enablement, platform architecture, or enterprise technology delivery in secure, governed environments.
•Experience enabling, supporting, or operationalizing AI/ML and Generative AI platforms and cloud-native services in AWS environments.
•Hands-on proficiency with AWS cloud platform services and infrastructure automation, including DevOps/IaC practices supporting scalable AI and data solutions.
•Ability to collaborate with cross-functional engineering, infrastructure, security, risk, and business teams to deliver governed AI enablement capabilities.

Experience:6+ yearsCloudAI/MLGenAIEnterprise technology

Education:Bachelor's

Skills:CommunicationProblem-solvingAnalytical thinkingJudgmentIndependent work

Tech Stack:AWSAmazon BedrockSageMakerLexLambdaAPI GatewayS3IAMCloudWatchInfrastructure as CodeIaCDevOpsTerraformJenkinsCloudFormationGitHubPythonSQLCI/CDDocker

Company Brief

Fifth Third Bancorp

Fifth Third Bancorp is a diversified bank holding company offering consumer, commercial, and wealth management services. Through its banking subsidiaries, it provides deposits, lending, treasury management, payments, and investment solutions across the Midwest and Southeast.

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cincinnati, United States

Founded: 1858

Glassdoor: 3.7

Website LinkedIn Glassdoor

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Fifth Third Bancorp

2 weeks ago

Lead AWS Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Cincinnati

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Enable, architect, and support secure, governed, scalable AI/GenAI platform capabilities that accelerate enterprise AI adoption across the bank.
•Design and maintain AI enablement environments, reusable architectural patterns, and integration of structured and unstructured data sources for POCs and production readiness.
•Architect, provision, and operate AWS cloud-based AI platform infrastructure and shared services using Infrastructure as Code and automation pipelines to ensure scalability and resiliency.
•Enable and operationalize AWS AI/ML and GenAI services (e.g., Bedrock, SageMaker) and related platform capabilities within governed enterprise environments.
•Develop governance, evaluation, and monitoring frameworks to support responsible AI usage, model validation, observability, and output quality assessments; create technical documentation and guidance.

Key Requirements

•Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, Mathematics, or a related discipline.
•6+ years of experience in cloud platform engineering, AI/ML enablement, platform architecture, or enterprise technology delivery in secure, governed environments.
•Experience enabling, supporting, or operationalizing AI/ML and Generative AI platforms and cloud-native services in AWS environments.
•Hands-on proficiency with AWS cloud platform services and infrastructure automation, including DevOps/IaC practices supporting scalable AI and data solutions.
•Ability to collaborate with cross-functional engineering, infrastructure, security, risk, and business teams to deliver governed AI enablement capabilities.

Experience:6+ yearsCloudAI/MLGenAIEnterprise technology

Education:Bachelor's

Skills:CommunicationProblem-solvingAnalytical thinkingJudgmentIndependent work

Tech Stack:AWSAmazon BedrockSageMakerLexLambdaAPI GatewayS3IAMCloudWatchInfrastructure as CodeIaCDevOpsTerraformJenkinsCloudFormationGitHubPythonSQLCI/CDDocker

Company Brief

Fifth Third Bancorp

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cincinnati, United States

Founded: 1858

Glassdoor: 3.7

Website LinkedIn Glassdoor