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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Mutual of Omaha Insurance Company - **Location:** Omaha, United States (Remote available) - **Experience:** Expert - **Salary:** $110,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Amazon S3, Automation of Tests, Cloud Computing, Cloud Engineering, Databases, Continuous Integration, Data Systems, Software Design Patterns, DevOps, Distributed Computing Environment, Python (Programming Language), Machine Learning, Language Modeling, Systems Development Life Cycle, Cloud Services, Software Engineering, SQL Databases, Systems Integration, TypeScript, Management of Software Versions, Data Processing, Enterprise Software Applications, Cloud Platform System, Spring Cloud, ReactJS, Large Language Models, Prompt Engineering, Multi-Cloud, Generative AI, AWS Lambda, Backend, Git, Vue.js, Data Management, Machine Learning Operations, Front End Software Development, Stream Analytics, Data Pipelines, Microservices - **Published:** August 19, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-remote-omaha-ne--6450de10-956a-4817-a948-752ed9a2469e ## About the Role * Bachelor's degree in Science, Engineering, or quantitative fields (Mathematics, Statistics, Data Science, etc.), or equivalent experience, with at least 5 years deploying and supporting full-stack applications in enterprise environments, and several years of experience integrating AI, ML solutions into full-stack applications. * Experienced in full-stack development (backend, frontend, and database technologies) with expertise in frameworks like React or Vue, and strong skills in Python, TypeScript, git, SQL, CI/CD pipelines, automated testing, and DevOps best practices. * Experienced in AWS services, particularly Bedrock, SageMaker, S3, Lambda, and infrastructure as code (CDK). Extensive experience applying software engineering design patterns and enterprise application architecture principles to build secure, scalable, maintainable, and cost-optimized cloud-native applications. * Experienced in developing and deploying AI/ML systems, with expertise in GenAI application development, LLM integration, and AIOps, implementing responsible AI practices, and optimizing AI solutions for production performance. * Strong communicator and collaborator, experienced at building partnerships in remote and ever-changing environments. Resilient and resourceful problem solver, proactive at overcoming obstacles to achieve goals. Comfortable with ambiguity and change, demonstrating high learning agility, adapting quickly to shifting priorities, and bringing clarity to undefined problems. * You promote a culture of diversity and inclusion, value different ideas and opinions, and listen courageously, remaining curious in all that you do. * Able to work remotely with access to a high-speed internet connection and located in the United States or Puerto Rico. PREFERRED: * Group Benefits or insurance industry experience. * Advanced degree in an analytical field with proven in-depth AI knowledge. * Experienced with AI/ML OPS practices, distributed data processing, and building real-time data pipelines and familiar with data mesh principles, and real-time analytics. * Familiarity with single or multi-cloud agentic architecture for building LLM-based applications. * AI engineer who can design and implement production-grade solutions across probabilistic and deterministic approaches (LLMs/classical ML/rules), including evaluation, orchestration, and integration into maintainable services. We value diverse experiences, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply!, AWS Lambda, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Automation, Best Practices, Broadband, Cloud Applications, Cloud Architecture, Cloud Computing, Communication Skills, Cost Control, Customer Experience, Data Management, Data Processing, Data Science, Design Patterns Programming Methodologies, DevOps, Enterprise Applications, Enterprise Architecture, Insurance, Intelligence Agencies, Leadership, Machine Learning, Machining Operations, Mathematics, Mentoring, Microservices, Modeling Languages, Problem Solving Skills, Prototyping, Scalable System Development, Software Design, Software Development, Software Engineering, Statistics, Strategic Planning, Technical/Engineering Design, Work From Home ## Description Mutual Of Omaha is seeking an experienced developer to lead the design and implementation of Machine Learning and generative AI applications for our Workplace Solutions division. This role calls for a multifaceted expert with deep knowledge of Machine Learning, Generative AI, and DevOps who can seamlessly align technical solutions with business needs. You will champion strategic initiatives that leverage analytics and artificial intelligence to enhance customer experiences, optimize operations, and deliver business value through scalable, ethical technology solutions. This role is essential in shaping our AI strategy and governance framework, enabling intelligent automation, machine learning operations, and integrated insights. You will drive this transformation by operationalizing AI to unlock actionable intelligence across the organization. We are looking for someone who can rapidly advance our GenAI capability. You'll bring seasoned critical thinking, mentor others, and act as a strong communicator with the business to drive adoption and impact., * Data and AI Architecture Leadership: Design, develop, and deploy AI and generative AI solutions, leveraging large language models to build and enable analytics, machine learning capabilities, and intelligent automation across the division. * Strategy, Roadmap and Stakeholder Alignment: Collaborate with business leadership and enterprise architects to define a roadmap for ML and generative AI capabilities (e.g., LLM application patterns), focusing on platform modernization and governance aligned to measurable outcomes. * AI Innovation & Prototyping: Build and iterate on AI/ML and generative AI proofs of concept (POCs), data/feature pipelines, and model workflows. Facilitate "what-if" exploration, whiteboarding, and design sprints to validate feasibility and business impact. Own solutions end-to-end from prototype through production rollout. * Governance, Ethics and Best Practices: Establish and uphold standards for quality, governance, ethical AI practices, and secure model deployment while promoting regulatory compliance and trust. Improve accuracy by employing systematic experimentation, prompt engineering, data and training versioning, and A/B testing to empirically optimize model performance. Implement AI Ops best practices to streamline the lifecycle of AI models. * Mentorship & Enablement: Guide teams in adopting and building LLM-powered applications, including context engineering, orchestration patterns, and evaluation practices. Accelerate adoption by providing reusable templates and reference implementations that enable consistent, scalable delivery and stay current on advancements in GenAI/AI, cloud capabilities, and emerging best practices. * Collaboration & Integration: Integrate data solutions with microservices, event-based architectures, and external business partners, ensuring scalability, observability, and operational readiness. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Lessons learned from building a thriving Vue.js SaaS application](https://www.wearedevelopers.com/videos/1666-lessons-learned-from-building-a-thriving-vue-js-saas-application) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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