Lead AWS Platform Engineer

Jobtailor; Cincinnati (OH); On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor is seeking a Lead AWS AI Platform Engineer to enable and scale enterprise AI/ML initiatives within a secure, governed AWS environment. You will architect and maintain AI enablement platforms that support rapid experimentation, POCs, model development, and enterprise adoption of GenAI.

Collaborating with risk, security, and infrastructure teams, you will establish reusable patterns, governance standards, and best practices for responsible AI delivery, while driving innovation through

Qualifications

• 6+ years in cloud platform engineering or enterprise technology delivery within secure environments.

Responsibilities

• Architect, implement, and maintain AI enablement platforms and services.
• Partner with cross-functional teams to establish governance standards and best practices for AI delivery.
• Enable AI services, maintain cloud and platform environments, and support data integrations.
• Drive innovation through experimentation and evaluation of new technologies.

Skills

AWS

AI/ML enablement

Platform architecture

DevOps/IaC

Governance

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science, IT, Engineering, Data Science, Mathematics or related field

Advanced degree preferred

Job description

Responsibilities

• 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

• 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.

Core Competencies

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.