AI Platform & Enablement Engineer - Remote

Mutual of Omaha is seeking an AI Platform & Enablement Engineer to join their AI Operations team. The role focuses on enabling generative AI capabilities within enterprise applications while ensuring security, compliance, and scalability. Responsibilities include building foundational patterns, creating reference architectures, and collaborating with developers to facilitate the adoption of AWS Bedrock and generative AI solutions.

Responsibilities:

• Build and mature foundational patterns for enterprise use of AWS Bedrock within broader business applications
• Create and publish reference architectures, reusable integration patterns, and developer guidance for GenAI use cases
• Design and implement governance-as-code and compliance-as-code controls to support responsible AI adoption at scale
• Develop reusable guardrails, policy-aligned templates, and automation that help teams stay within approved enterprise standards
• Enable secure and scalable use of LLM agents, orchestration patterns, and supporting AWS services
• Partner with application developers to accelerate rapid proof-of-concept enablement and help teams move from experimentation to production-ready designs
• Translate governance, security, and architecture requirements into practical engineering controls that developers can adopt with minimal friction
• Track evolving AWS Bedrock capabilities and incorporate relevant enhancements into enterprise enablement patterns
• Design and implement cross-account AI usage data collection and aggregation infrastructure to support enterprise observability and executive reporting
• Automate evaluation and reporting for GenAI solutions, including quality, safety, and policy-alignment measures where appropriate
• Collaborate with Architecture, Security, Risk, Compliance, and platform teams to ensure GenAI solutions align to enterprise expectations without unnecessarily slowing innovation

Requirements:

• Hands-on experience as a software engineer or full stack engineer, with the ability to work credibly with application development teams
• Experience building and deploying cloud-native applications, APIs, and integrations in AWS
• Familiarity with AWS Bedrock and strong interest in generative AI application enablement
• Experience with infrastructure-as-code and automation using tools such as AWS CDK and CloudFormation
• Ability to translate technical, governance, and compliance requirements into practical implementation patterns and engineering controls
• Experience building reusable frameworks, templates, libraries, or platform capabilities that improve developer speed and consistency
• Comfort operating across a large, multi-account AWS environment — understanding how to design solutions that work at enterprise scale, not just in a single account
• Strong problem-solving and collaboration skills, with the ability to work across engineering, architecture, security, governance, and business teams
• Experience enabling or integrating generative AI capabilities into enterprise software applications
• Familiarity with LLM evaluation, testing, monitoring, or reporting frameworks
• Experience implementing platform controls such as guardrails, logging, auditability, or policy enforcement in cloud environments
• Experience publishing developer-facing technical standards, engineering patterns, or reference implementations
• Experience designing or operating cross-account AWS infrastructure — such as data aggregation pipelines, centralized logging, or multi-account governance tooling
• Exposure to regulated environments where engineering solutions must align to security, risk, and compliance expectations