Principal Generative AI Architect

Mutual of Omaha; United States; On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Annual bonus eligibility

401(k) with company match

Paid vacation and holidays

Job summary

Mutual of Omaha seeks a Principal Data Scientist specializing in Generative AI to design, build, and deploy production AI applications across business areas. You will architect agentic AI systems, implement end‑to‑end ML lifecycles, and ensure secure, scalable cloud infrastructure on AWS.

Lead with prompt engineering, data versioning, A/B testing, and governance, while mentoring junior data scientists and engineers in a collaborative, fast‑moving environment.

Qualifications

• Bachelor’s degree or equivalent experience in a technical field.
• 5+ years deploying and supporting full‑stack enterprise apps with AI integration.
• Strong experience in modern AI/ML pipelines, tooling, and cloud infra.

Responsibilities

• Lead design, development, and deployment of Generative AI applications across operational areas.
• Architect agen­tic AI systems with tool use and workflow automation.
• Oversee end‑to‑end lifecycle of AI/ML projects from ideation to production.
• Develop secure, scalable AWS infrastructure with cost optimization and compliance.
• Collaborate with stakeholders to identify high‑impact AI use cases in underwriting, customer service, claims, and risk modeling.

Skills

Generative AI

LLM applications

MLOps

AWS cloud

LangChain / LangGraph

Python

TypeScript

CI/CD

Data engineering

Data science

Fairness in AI

Experimentation

Communication

Education

Bachelor’s degree in Computer Science, Engineering, or analytical fields

Tools

Vue

TKG

SageMaker

Bedrock

Lambda

CDK

Git

SQL

CI/CD pipelines

Automated testing

Job description

Mutual of Omaha seeks a Principal Data Scientist specializing in Generative AI to design, build, and deploy production AI applications across business areas. You will architect agentic AI systems, implement end‑to‑end ML lifecycles, and ensure secure, scalable cloud infrastructure on AWS.

Lead with prompt engineering, data versioning, A/B testing, and governance, while mentoring junior data scientists and engineers in a collaborative, fast‑moving environment.