Mutual of Omaha is looking for a Senior AI Developer to lead the design, development, and deployment of transformative AI and generative AI applications. You will integrate AI, MLOps, DevOps, and full-stack development to solve operational challenges, build and maintain AWS infrastructure, and lead AI/ML projects end-to-end. We value diverse experience, skills, and a passion for innovation.

What You'll Do

Lead the design, development, and deployment of Generative AI and LLM applications by immersing yourself in operational needs and applying engineering best practices to build innovative, robust, and reliable solutions.
Develop and maintain AWS infrastructure, with a focus on cloud resource management, security, and cost optimization, prioritizing security and fairness throughout to protect our customers.
Collaborate on systems design and integration with both front-end and back-end systems, ensuring smooth operation and scalability. Maintain production reliability, CI/CD pipelines, and automated testing.
Lead the end-to-end lifecycle of AI/ML projects, improving accuracy through systematic experimentation, prompt engineering, data versioning, and A/B testing to optimize model performance.
Lead iterative delivery using agile methodologies, incorporating feedback and fostering a culture of continuous improvement to rapidly develop, test, and refine solutions from prototyping to production.
Stay updated on advancements in genAI, cloud technologies, and ethical considerations in AI.

What We're Looking For

Bachelor’s degree in Computer Science, Engineering, or an analytical field, or equivalent experience.
At least 8 years deploying and supporting full-stack applications in enterprise environments.
Several years of experience integrating AI and MLOps into full-stack applications.
Experienced in full-stack development with expertise in frameworks like React or Flask.
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 data science, machine learning techniques, and data engineering.
Skilled at addressing fairness in AI development and applying experimentation and A/B testing methodologies to empirically evaluate and improve model 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 complex problems.
You promote a culture of diversity and inclusion, value different ideas and opinions, and listen courageously.
Able to work remotely with access to a high-speed internet connection and located in the United States or Puerto Rico.
Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.

Nice to Have

Advanced degree in an analytical field.
Proven in-depth AI knowledge.
Experienced in AWS services, particularly Bedrock, SageMaker, S3, and Lambda.
Familiarity with single or multi-cloud agentic architecture for building LLM-based applications.
Proven experience with MLOps and implementing automated pipelines for model training, monitoring, versioning, deployment, and scaling in production.