Data Scientist - AI Systems

4w1 month ago

Mutual Of Omaha

Remote · Full-time · $99,000 – $115,000

About this role

This role focuses on designing, building, and supporting the deployment of AI-powered systems that solve business problems, from intelligent agents and conversational interfaces to analytical workflows with a production-first mindset. You will partner closely with business stakeholders to extract core needs and translate them into rigorous technical specifications for GenAI-powered systems.

Day-to-day, you will design, develop, and refine GenAI-powered systems including AI agents, conversational interfaces, and intelligent analytical workflows using frameworks such as LangGraph and Strands. You will evaluate trade-offs between architectures based on the problem at hand, ensuring Python-based systems are modular, secure, observable, and leverage AWS Cloud platform services.

You will collaborate with cloud engineers, data engineers, and UI/UX developers to deliver cohesive end-to-end solutions architected for automated CI/CD pipelines and stable production environments. You will also develop evaluation frameworks and metrics to monitor accuracy, reliability, latency, and cost-effectiveness of GenAI-powered systems and traditional statistical models.

This role offers the opportunity to conduct focused research and prototyping to evaluate new GenAI patterns and strategies, with the clear expectation of moving from prototype to production efficiently. You will know when a solution is ready to ship and iterate in production, contributing to a culture of innovation and technical excellence.

Requirements

Graduate degree in an analytical field (Math, Stats, CS, BI, etc.) and 2+ years of experience building GenAI-powered systems such as agents, RAG pipelines, or conversational AI using frameworks like LangGraph, Strands, or similar.
Proven experience shipping models or GenAI systems to production, not just building prototypes.
Strong system design and problem-solving skills with the ability to decompose complex, under-defined problems into modular, buildable components.
Ability to reason through trade-offs such as cost, latency, accuracy, and complexity.
Working knowledge of generative AI concepts and patterns including RAG architectures, data curation for knowledge bases, prompt engineering, tool-use design, memory/state management, and enterprise AI deployment pipelines.
Proficient in Python and SQL, with hands-on experience in AWS Bedrock, SageMaker, and functional understanding of AWS Lambda, AgentCore, Fargate, etc.
Experience using GitHub for version control and collaborative development.

Responsibilities

Partner closely with business stakeholders to extract core needs and translate them into rigorous technical specifications for GenAI-powered systems.
Design, develop, and refine GenAI-powered systems including AI agents, conversational interfaces, and intelligent analytical workflows using frameworks such as LangGraph and Strands.
Design GenAI solutions with a production-first mindset, ensuring Python-based systems are modular, secure, observable, and leverage AWS Cloud platform services.
Ensure seamless flow of data between the backend, the GenAI system, and the UI by collaborating with cloud engineers, data engineers, and UI/UX developers.
Develop evaluation frameworks and metrics to monitor accuracy, reliability, latency, and cost-effectiveness of GenAI-powered systems and traditional statistical models.
Establish guardrails and feedback loops that catch regressions before they reach end users.
Conduct focused research and prototyping to evaluate new GenAI patterns and strategies, moving from prototype to production efficiently.

Benefits

Salary range: $110,000–$130,000 for Data Scientist, plus annual bonus eligibility.
Associate Data Scientist salary range: $99,000 - $115,000, plus annual bonus opportunity.
401(k) with 2% company contribution and up to 6% match.
Work-life balance with vacation, personal time, and paid holidays.
Sponsorship is available for this position.