AWS Cloud & AI Platform Engineer II (Only W2)

CBTS; Cincinnati (OH); On-site; USD 96,000 - 110,000; Full time

Job summary

CBTS is seeking an AI Platform Engineer to enable secure, scalable AI services across enterprise environments. You will design and support AWS-based AI platform infrastructure, implement IaC pipelines, and collaborate with cross-functional teams to accelerate AI adoption.

The role emphasizes governance, regulatory alignment, and production readiness. Responsibilities include enabling AI platforms, developing reusable patterns, and evaluating emerging AI technologies to keep the bank at the

Qualifications

• Experience designing scalable, governed AI platforms.
• Proficiency with AWS AI services (Bedrock, SageMaker).
• Strong collaboration with cross-functional teams.
• Familiarity with regulatory requirements for enterprise platforms.

Responsibilities

• Enable, architect, and support secure, governed, and scalable AI/Gen AI platform capabilities that accelerate enterprise AI adoption across the Bank.
• Design, implement, and maintain AI enablement environments, services, frameworks, and reusable architectural patterns to support rapid experimentation, POCs, and production readiness.
• Architect, provision, and maintain AWS cloud-based AI platform infrastructure and shared services using IaC, automation pipelines, and best practices for scalability and resiliency.
• Enable and support AWS AI/ML and cloud-native services such as Bedrock, SageMaker, S3, Lambda, API Gateway, and related capabilities within secure enterprise environments.
• Partner with cross-functional teams to onboard AI solutions aligned with governance and technology standards.
• Evaluate, enable, and operationalize emerging AI technologies for enterprise use cases and strategic initiatives.
• Establish and maintain AI platform standards, guardrails, and best practices for secure and responsible AI development.
• Support integration of structured and unstructured data sources and enterprise platforms to enable scalable AI delivery.
• Stay current with emerging AI/ML technologies and cloud platform trends.

Skills

AI Platform

AWS

SageMaker

Bedrock

IaC

Data Integration

Job description

Pay Rate: $70-80/hour on W2, client will not consider C2C

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. Responsibilities include designing scalable AI architectures, supporting platform modernization, creating reusable enablement capabilities, and ensuring alignment with enterprise technology strategy, operational resiliency, and regulatory requirements.

Essential Duties and Responsibilities

AI Platform Enablement, Governance, and Innovation

• Enable, architect, and support secure, governed, and scalable AI/Gen AI platform capabilities that accelerate enterprise AI adoption across the Bank.
• 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, Sage Maker, S3, Lambda, API Gateway, and related platform capabilities within secure and governed enterprise environments.
• Partner with cross-functional teams including 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.
• Stay current with emerging AI/ML technologies, AWS cloud technologies frameworks, and methodologies.
• Contribute to establishing best practices for AI exploration and deployment.

Collaboration and Communication

• 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.
• Develop evaluation and governance frameworks to support model validation, responsible AI usage, monitoring, observability, and output quality assessments.
• 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.
• Stay current with emerging AI/ML technologies, cloud platform services, architectural trends, and industry best practices to continuously evolve the Bank’s AI enablement ecosystem.
• 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.