AI Platform & Enablement Engineer
New
M
Mutual of OmahaAI Operations
United StatesFull-TimeMiddle
SalaryUSD 130000 - 155000 / year
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Job Details
- Required Skills
- AWSFull Stack DevelopmentCloudFormationLLMGenerative AI
Requirements
- Hands-on experience as a software engineer or full stack engineer.
- 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.
- Comfort operating across a large, multi-account AWS environment.
- Strong problem-solving and collaboration skills.
- Experience enabling or integrating generative AI capabilities into enterprise software applications (preferred).
- Familiarity with LLM evaluation, testing, monitoring, or reporting frameworks (preferred).
- Experience implementing platform controls such as guardrails, logging, auditability, or policy enforcement (preferred).
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.
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