Lead AWS Platform Engineer

Overview 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. Responsibilities Enable, architect, and support secure, governed, and scalable AI/GenAI platform capabilities that accelerate enterprise AI adoption. Design, implement, and maintain AI enablement environments, services, frameworks, and reusable architectural patterns to support rapid experimentation, proof of concepts (POCs), and production readiness. Architect, provision, and maintain AWS cloud‑based AI platform infrastructure and shared services using Infrastructure as Code (IaC), automation pipelines, and cloud engineering best practices to ensure scalability, resiliency, and operational efficiency. Enable and support AWS AI/ML and cloud‑native services such as Amazon Bedrock, SageMaker, S3, Lambda, API Gateway, and related platform capabilities within secure and governed enterprise environments. Partner with cross‑functional teams (engineering, infrastructure, security, risk, data, and business stakeholders) to onboard and enable AI solutions aligned with enterprise governance and technology standards. Evaluate, enable, and operationalize emerging AI/ML and generative AI technologies, services, and platforms for enterprise use cases and strategic initiatives. Establish and maintain AI platform standards, reference architectures, guardrails, and best practices for secure and responsible AI development and deployment. Support the enablement and integration of structured and unstructured data sources, cloud‑native AI services, APIs, and enterprise platforms to facilitate scalable AI solution delivery. Develop evaluation and governance frameworks to support model validation, responsible AI usage, monitoring, observability, and output quality assessments. Create and maintain technical documentation, architectural guidance, operational procedures, and governance artifacts related to AI enablement capabilities and platform services. Lead technical exploration, innovation initiatives, and technology evaluations to identify opportunities for improving AI platform capabilities, developer experience, scalability, and operational efficiency. Collaborate with agile squads, platform engineering teams, and product stakeholders to deliver enabling capabilities and technical solutions aligned with enterprise AI strategy and business priorities. Deliver platform enablement and technical capabilities for defined product areas or strategic initiatives while operating with a high degree of ownership, collaboration, and operational accountability. Minimum Requirements Education and Experience Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, Mathematics, or a related technical discipline (advanced degree preferred). 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. Technical Skills Strong understanding of AWS cloud platform engineering concepts, including provisioning, configuration, automation, monitoring, and operational support of scalable cloud‑native environments. Experience enabling and supporting AWS AI/ML and GenAI services such as Amazon Bedrock, SageMaker, Lex, Lambda, API Gateway, S3, IAM, CloudWatch, and related cloud platform capabilities. Proficiency in Infrastructure as Code (IaC), CI/CD automation, and DevOps practices using tools such as Terraform, Jenkins, CloudFormation, GitHub, or similar platform engineering technologies. Strong programming and scripting skills with proficiency in Python and familiarity with SQL, APIs, automation scripting, and cloud integration patterns. Experience enabling generative AI capabilities including prompt engineering, Retrieval‑Augmented Generation (RAG), model orchestration, evaluation frameworks, tool integration, and agentic AI enablement patterns. Knowledge of AI orchestration and frameworks such as 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 related to cloud and AI platform operations. Experience supporting AI/ML experimentation, proof of concepts (POCs), and platform enablement activities within controlled enterprise environments. Working knowledge of machine learning concepts, model lifecycle management, observability, and AI evaluation methodologies supporting responsible AI adoption. Engineering Practices Proficiency with version control systems (Git/GitHub); understanding of CI/CD pipelines and DevOps practices. Experience with containerization and Infrastructure as Code (Docker, Terraform); knowledge of data structures, algorithms, and software design principles. Experience designing observability systems for AI applications. Business and Soft Skills Collaborates effectively with peers and cross‑functional teams. Applies sound judgment and resolves issues using established guidelines. 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 demonstrated capacity to work independently. Experience working in Agile environments. Proficiency with Microsoft Office suite (Word, Excel, PowerPoint). Understanding of ethical considerations in AI deployment. Benefits Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day. The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance. Our extensive benefits programs are designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well‑being. Location Cincinnati, Ohio 45202 Equal Employment Opportunity Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status. #J-18808-Ljbffr Dormont Manufacturing Co