AI Cloud Data Scientist

UMBs Data Science team partners directly with business and technology leaders to turn high-value banking problems into governed measurable AI solutionsagentic AI systems LLM applications and machine learning models that automate and modernize how the bank works.

As an AI Cloud Data Scientist you will decompose business processes with line-of-business partners determine whether the right answer is an AI agent a machine learning model a deterministic rule or a combination and build the solution far enough to prove its value. You will also build the reusable tools patterns and evaluation practices that make the broader data science team more capable working closely with a Principal Data Scientist and partner engineering teams. This role owns problem framing solution design prototyping evaluation and production-ready handoff. Partner engineering teams own production deployment scaling and operations unless otherwise assigned. Overall responsibilities which will include multiple initiatives assigned by Data Science and IT leadership.

This role is hybrid (Mon through Thu on-site / Fri remote) for candidates in the Kansas City metropolitan area and open to qualified remote candidates outside of the Kansas City area. However the remote location must be within the US.

How youll spend your time:

• Agentic AI & LLM Solution Development:
  • Design and build multi-step agentic AI systemstool and function calling orchestration retrieval and memoryon AWS Bedrock Agents or an equivalent platform.
  • Engineer prompts and context including the business and semantic context agents need to accurately answer natural-language questions from the business.
  • Prototype iterate and prove solutions in a development environment and apply large language models to automate augment and replace manual workflows.
• Business Translation & Partnership:
  • Partner with business teams to decompose processes identify outdated systems and manual work that are strong candidates for AI modernization and choose the simplest method that solves the problem well.
  • Solve the underlying problem rather than putting a patch on it own the solution from discovery through validated results and communicate tradeoffs and outcomes clearly to business and technical audiences.
• Machine Learning Evaluation & Governance:
  • Build evaluate and reason about machine learning models end to end when the problem calls for it applying sound experimentation feature engineering and validation practices.
  • Build evaluation harnesses and define metrics to measure agent and model quality including failure analysis and regression testing.
  • Implement guardrails human-in-the-loop checks and the security compliance and governance controls a regulated banking environment requires.
• AI Enablement & Handoff to Engineering:
  • Build reusable skills workflows tools and patternsfor prompts context tool interfaces evaluations and approvalsthat improve data science productivity and quality across the team and share them through examples and mentoring.
  • Define data pipeline and integration requirements and hand off solutions to engineering with documented designs evaluation results and acceptance criteria.

In your first year success looks like a high-friction bank process turned into a governed agentic workflow with measurable value and a reusable evaluation approach that other initiatives adopt.

Were excited to talk if you have:

• At least 3 years of experience across data science machine learning AI engineering applied research or enterprise software development plus a Bachelors degree in a related field or an equivalent combination of education and experience. We value demonstrated ability and project depth over an exact title or degree path.
• Strong proficiency in Python and SQL solid machine learning skills and 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.

Bonus Points if you have:

• Built AI or machine learning solutions in AWS (Bedrock SageMaker Lambda) or comparable cloud AI services.
• Worked in financial services or another regulated industry.
• Developed semantic views or semantic layers to provide business context for analytics or AI.
• Built internal AI tools or reusable capabilities that make a technical team faster.

We welcome candidates from applied science machine learning engineering analytics engineering software engineering and product-facing data science backgroundswhat matters is demonstrated ability not an exact prior title.

Applicants must have legal authority to work in the United States. Work Visa sponsorship is not available for this position.

Compensation Range:

The posted compensation range on this listing represents UMBs good faith and reasonable estimate based on its budget and what it expects to be the starting pay for this role but the actual compensation may vary by geographic location experience level and other job-related factors. Please see the description of benefits included with this job posting for additional information.

UMB offers competitive and varied benefits to eligible associates such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical dental vision and other insurance coverage; health savings flexible spending and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary.

Are you ready to be part of something more
Youre more than a means to an enda way to help us meet the bottom line. UMB isnt 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. Youll 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.

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