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Lead AWS Platform Engineer
Fifth Third BankLead AWS AI Platform Engineer at Fifth Third Bank responsible for AI platform enablement and governance. Collaborating with cross-functional teams to ensure secure and scalable AI solutions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and implementing AI and machine learning platforms within AWS environments, focusing on secure and governed technology solutions. Proven ability to collaborate with cross-functional teams to drive innovation and establish best practices for AI delivery.
Highest-signal resume keywords
AWS Cloud Platform ServicesAI/ML EnablementPlatform ArchitectureInfrastructure AutomationDevOps/IaC Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud Platform EngineeringAI EnablementModel DevelopmentData IntegrationGenerative AI SolutionsEnterprise Technology DeliveryGovernance StandardsArchitectural PatternsTechnical ExplorationEmerging Technology Evaluations
Soft Skills
CollaborationInnovationCommunication
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in Information TechnologyBachelor’s Degree in EngineeringBachelor’s Degree in Data ScienceBachelor’s Degree in Mathematics
Industry Keywords
Enterprise AIMachine LearningCloud-Native ServicesSecure EnvironmentsGoverned Environments
Tech Stack
Tools & technologiesAWSCloud
About the role
Key responsibilities & impact- The Lead AWS AI Platform Engineer is responsible for enabling and advancing enterprise AI and machine learning capabilities within a secure, governed, and scalable technology environment across the Bank.
- This role architects, implements, and maintains AI enablement platforms and services that support rapid experimentation, proof of concepts (POCs), model development, and enterprise adoption of GenAI and AI/ML solutions.
- The role partners closely with cross-functional business, engineering, risk, security, and infrastructure teams to establish reusable frameworks, architectural patterns, governance standards, and best practices for responsible AI delivery.
- The role is accountable for enabling AI services, maintaining cloud and platform environments, supporting structured and unstructured data integrations, and driving innovation through experimentation, technical exploration, and emerging technology evaluations.
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, Mathematics, or a related technical discipline; advanced degree preferred but not required.
- 6+ years of experience in cloud platform engineering, AI/ML enablement, platform architecture, or enterprise technology solution delivery within secure and governed environments.
- Experience enabling, supporting, or operationalizing AI/ML and Generative AI platforms, cloud-native services, and enterprise technology capabilities in AWS environments.
- Hands-on experience with AWS cloud platform services, infrastructure automation, DevOps/IaC practices, and platform enablement frameworks supporting scalable AI and data solutions.
- Experience collaborating with cross-functional engineering, infrastructure, security, risk, and business teams to deliver enterprise technology and AI enablement capabilities aligned with governance and operational standards.
Benefits
Comp & perks- Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day.