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About the Role

As an AI Cloud Data Scientist, you will decompose business processes with line-of-business partners, determine the best AI solution, and build it to prove its value. You will also develop reusable tools and patterns to enhance the broader data science team's capabilities, working closely with a Principal Data Scientist and partner engineering teams. This role is responsible for problem framing, solution design, prototyping, evaluation, and production-ready handoff.

Responsibilities

Design and build multi-step agentic AI systems on AWS Bedrock Agents or an equivalent platform.
Engineer prompts and context for agents to accurately answer natural-language questions.
Prototype, iterate, and prove AI solutions, applying large language models to automate, augment, and replace manual workflows.
Partner with business teams to decompose processes and identify opportunities for AI modernization.
Solve underlying problems and own solutions from discovery through validated results.
Communicate tradeoffs and outcomes clearly to business and technical audiences.
Build, evaluate, and reason about machine learning models end to end.
Apply sound experimentation, feature engineering, and validation practices for ML models.
Build evaluation harnesses and define metrics to measure agent and model quality.
Implement guardrails, human-in-the-loop checks, and necessary security, compliance, and governance controls.
Build reusable skills, workflows, tools, and patterns to improve data science productivity and quality.
Share reusable components through examples and mentoring.
Define data, pipeline, and integration requirements.
Handoff solutions to engineering with documented designs, evaluation results, and acceptance criteria.

Requirements

At least 3 years of experience across data science, machine learning, AI engineering, applied research, or enterprise software development.
Bachelor’s degree in a related field or an equivalent combination of education and experience.
Demonstrated ability and project depth over an exact title or degree path.
Strong proficiency in Python and SQL.
Solid machine learning skills.
Work with normal engineering discipline: Git, testing, documentation, and APIs.
Built at least one multi-step LLM workflow involving tool or function calling, orchestration, retrieval, structured outputs, state, or human approval paths.
Ability to evaluate AI and model outputs using repeatable tests, meaningful quality metrics, and failure analysis.
Ability to translate ambiguous business problems into AI solutions, scope them with stakeholders, and explain tradeoffs to non-technical audiences.
Applicants must have legal authority to work in the United States.
Work Visa sponsorship is not available for this position.

Skills

Python
SQL
Machine Learning
Git
Testing
Documentation
APIs
Agentic AI
LLM
AWS Bedrock Agents
Prompt Engineering
Evaluation
Governance
AWS
SageMaker
Lambda
Financial Services
Semantic Views
Semantic Layers

Location

Kansas City metropolitan area
Remote (US)

Work Type

Hybrid (Mon through Thu on-site / Fri remote)
Remote

Experience Level

3+ years

Education Level

Bachelor's degree in a related field or equivalent combination of education and experience

Salary/Compensations

$98,208 - $144,705

Benefits

Paid Time Off
401(k) matching program
Annual incentive pay
Paid holidays
Comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage
Health savings accounts
Flexible spending accounts
Dependent care accounts
Adoption assistance
Employee assistance program
Fitness reimbursement
Tuition reimbursement
Associate wellbeing program
Associate emergency fund
Various associate banking benefits

About the Company

UMB’s Data Science team partners directly with business and technology leaders to turn high-value banking problems into governed, measurable AI solutions—agentic AI systems, LLM applications, and machine learning models that automate and modernize how the bank works.
You're more than a means to an end—a way to help us meet the bottom line. UMB isn't comprised of workers, but of people who care about their work, one another, and their community. Expect more than the status quo. At UMB, you can expect more heart. You'll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing, no matter what. And, expect more opportunities. UMBers are known for having multiple careers here and having their voices heard.

Equal Opportunity

UMB and its affiliates are committed to inclusion and diversity and provide employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including gender, pregnancy, sexual orientation, and gender identity), national origin, age, disability, military service, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.
If you need accommodation for any part of the employment process because of a disability, please send an e-mail to talentacquisition@umb.com to let us know the nature of your request.