As a member of Mutual of Omaha’s AI Operations team, you will partner with application development teams across the company to enable generative AI capabilities within enterprise applications. Our team sits at the intersection of AI Governance and GenAI Enablement, helping teams move quickly while ensuring AI solutions are secure, compliant, scalable, and aligned to enterprise guardrails.
As an AI Enablement Engineer - AI Operations, your primary focus will be on building the technical foundations, reusable patterns, and engineering controls that allow application teams to safely adopt AWS Bedrock and related GenAI capabilities. This role is for someone who can speak the language of software developers, understands modern cloud-native application architecture, and has strong interest and hands-on experience with generative AI enablement using AWS.
If you are a full stack engineer with strong cloud engineering skills, experience building enterprise application patterns, and enthusiasm for helping developers safely move GenAI into production, this could be the right opportunity for you.
- Estimated Salary: $130,000 - $155,000, plus annual bonus opportunity.
- 401(k) plan with a 2% company contribution and 6% company match.
- Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.
- Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.
- 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.
WHAT YOU'LL BRING:
- 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.
PREFERRED:
- 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.
We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply!
If you have questions about your application or the hiring process, email our Talent Acquisition area at [email protected]. Please allow at least one week from time of applying if you are checking on the status.
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