Lead AWS Platform Engineer

Fifth Third Bank

. Enable, architect, and support secure, governed, and scalable AI/GenAI platform capabilities across the Bank .

Posted 10/16/2026full-timeCincinnati • Ohio • United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudDockerJenkinsPythonSQLTerraform

About the role

Key responsibilities & impact

Enable, architect, and support secure, governed, and scalable AI/GenAI platform capabilities across the Bank
Design, implement, and maintain AI enablement environments, services, frameworks, and reusable architectural patterns
Architect, provision, and maintain AWS cloud-based AI platform infrastructure and shared services using IaC and automation pipelines
Enable and support AWS AI/ML and cloud-native services including Amazon Bedrock, SageMaker, S3, Lambda, and API Gateway
Partner with engineering, infrastructure, security, risk, data, and business stakeholders
Evaluate, enable, and operationalize emerging AI/ML and Generative AI technologies for enterprise use cases
Establish and maintain AI platform standards, reference architectures, guardrails, and best practices
Support integration of structured and unstructured data sources, APIs, and enterprise platforms
Create technical documentation, architectural guidance, operational procedures, and governance artifacts
Lead technical exploration, innovation initiatives, and technology evaluations
Develop evaluation and governance frameworks for model validation, responsible AI usage, monitoring, observability, and output quality
Collaborate with agile squads, platform engineering teams, and product stakeholders
Deliver platform enablement and technical capabilities for product areas and strategic initiatives

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, Mathematics, or a related technical discipline
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
Strong understanding of AWS cloud platform engineering concepts
Experience with AWS AI/ML and GenAI services including Amazon Bedrock, SageMaker, Lex, Lambda, API Gateway, S3, IAM, and CloudWatch
Proficiency in Infrastructure as Code, CI/CD automation, and DevOps practices using Terraform, Jenkins, CloudFormation, GitHub, or similar technologies
Proficiency in Python and familiarity with SQL, APIs, automation scripting, and cloud integration patterns
Experience with prompt engineering, Retrieval-Augmented Generation, model orchestration, evaluation frameworks, tool integration, and agentic AI enablement patterns
Knowledge of LangChain, LlamaIndex, MCPs, vector databases, and enterprise AI integration architectures
Experience designing reusable frameworks, reference architectures, guardrails, and operational standards for secure and governed AI platform enablement
Familiarity with enterprise security, risk, governance, access management, and compliance considerations
Experience supporting AI/ML experimentation and proof of concepts within controlled enterprise environments
Working knowledge of machine learning concepts, model lifecycle management, observability, and AI evaluation methodologies
Proficiency with Git/GitHub
Understanding of CI/CD pipelines and DevOps practices
Experience with Docker and Terraform
Knowledge of data structures, algorithms, and software design principles
Experience designing observability systems for AI applications
Excellent written and verbal communication skills
Strong analytical thinking and problem-solving abilities
Ability to manage time effectively and prioritize competing demands
Self-motivated with capacity to work independently
Experience working in Agile environments
Proficiency with Microsoft Office suite
Understanding of ethical considerations in AI deployment
Position not available for immigration sponsorship

Benefits

Comp & perks

Comprehensive benefits programs supporting physical, financial, emotional, and social well-being
Incentive compensation plan based on company, line of business, and/or individual performance
Differentiated compensation offerings
Employee benefits for employees and their families