Note: The job is a remote job and is open to candidates in USA. Mutual of Omaha is looking for a Data Science team member who bridges the gap between traditional statistical modeling and advanced AI orchestration. In this role, you will partner with stakeholders to design and build AI systems that power analytical workflows and conversational interfaces.
Responsibilities
- Partner closely with business stakeholders to extract core needs and translate them into rigorous technical specifications for AI systems and agent behaviors
- Use SQL, Python to extract and profile data from structured and unstructured sources, ensuring high-quality data inputs for both machine learning models and LLM agent contexts
- Apply a "full-stack" mindset to AI development. You will use GitHub Workflows, GitHub CoPilot and AWS Bedrock to ensure a seamless flow of data between the backend, AI agents, and the UI, while ensuring your code is architected for automated CI/CD pipelines and stable production environments
- Develop and refine autonomous AI agents using frameworks such as LangGraph to power intelligent chatbots, designing stateful, multi-step workflows that navigate complex business logic
- Design AI solutions with a "production-first" logic. While others may handle the final deployment, you are responsible for ensuring your Python-based agents are modular, and secure, leverage AWS Cloud platform
- Develop evaluation frameworks and metrics to monitor the accuracy, reliability, and cost-effectiveness of AI agents and traditional statistical models
- Develop, experiment with, and refine autonomous AI agents using frameworks such as LangGraph, conducting iterative research and prototyping to evaluate new agent behaviors, orchestration patterns, and stateful workflows before scaling them into production-grade systems
- Maintain and enhance package and dependency management tools such as poetry and npm to comply with corporate development standards and resolve Critical Vulnerabilities identified by automated code quality scanning tools
Skills
- A Graduate degree in an analytical field (Math, Stats, CS, BI etc.) and 2+ years of experience in an analytically driven role
- 2+ years of experience specifically building AI agents and designing complex systems that leverage LangGraph or similar orchestration frameworks
- A strong understanding of the full-stack lifecycle, including how data travels from backend databases through the application logic to a conversational UI
- Strong command of Python and SQL (required)
- Hands-on experience building applications within the AWS LLM ecosystem (Bedrock, SageMaker) and a functional understanding of working within an AWS Lambda environment
- A strong background in machine learning and statistical analysis, with the ability to validate agent outputs against business benchmarks
- Experience designing solutions with a 'production-grade' mindset—understanding the requirements for reliability, security, and scalability
- Experience with AWS Bedrock Agents and action group integration
- Demonstrated ability to navigate under-defined problems and deliver robust solutions in fast-moving environments
- Working knowledge of generative AI orchestration frameworks, retrieval-augmented generation (RAG) architectures, and enterprise AI deployment pipelines
Benefits
- Eligible for annual bonus, as applicable.
- 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.
Company Overview