Applied AI Engineer

NBH Bank

Location: Missouri
Workplace: Hybrid
Employment: Full Time
Salary: —

Posted 1mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

Identify practical AI opportunities
Build safe prototypes and production-ready solutions
Adopt AI responsibly
Understand how work gets done today
Separate high-value AI opportunities from low-value ideas
Turn the best opportunities into safe, usable, measurable solutions
Design, evaluate, and deliver AI-powered solutions
Facilitate discovery sessions with stakeholders
Map workflows and pain points
Assess where AI, automation, search, summarization, agents, or decision-support tools can responsibly improve outcomes
Prioritize opportunities based on business value, feasibility, risk, and operational readiness
Build AI-enabled tools, retrieval-augmented generation solutions, workflow automations, agent-based patterns, data integrations, and evaluation frameworks
Serve as a practical AI advisor and coach
Run workshops, office hours, and hands-on working sessions
Create playbooks, reusable patterns, prompt guidance, and documentation
Stay current on relevant AI developments
Translate new capabilities into practical recommendations
Partner with Information Security, AI governance, Risk, application engineering, and business leaders to ensure AI solutions are developed responsibly and align with applicable banking, model risk, compliance, privacy, and security expectations

Requirements

Bachelor’s degree in computer science, Information Systems, or a related field
3+ years of experience in software engineering, data, automation, business technology, process improvement, AI implementation, or similar applicable experience
2+ years of hands-on experience applying LLMs, AI tools, automation, or AI-enabled solutions to real business or technical problems
Proficiency in Python or another modern programming language used for automation, data, or application development
Experience reading and writing SQL against enterprise data warehouses such as Snowflake, SQL, and PostgreSQL
Demonstrated regular use of modern AI tools
Experience evaluating AI, machine learning, automation, or decision-support solutions for accuracy, risk, usability, and business value
Familiarity with APIs, version control systems such as GitHub or Bitbucket, and common software delivery practices
Experience working with cross-functional business, technology, data, risk, and/or operations teams in a fast-paced environment
Strong verbal, written, and interpersonal communication skills
Ability to facilitate discovery, teach, influence, and present effectively to both technical and business audiences
Valid driver's license and driving history that meets the Bank’s driver standards

Preferred

5+ years of relevant job experience
Advanced degree, certification, or equivalent advanced training related to software engineering, data, AI, machine learning, analytics, business process improvement, or digital transformation
Experience in financial services, banking, fintech, or another regulated industry
Working familiarity with model risk management expectations such as SR 11-7, OCC, and FFIEC as applied to AI systems
Experience identifying, sizing, and prioritizing AI or automation opportunities in business operations, lending, banking, contact center, compliance, risk, finance, or data workflows
Experience designing pilots, proofs of concept, adoption programs, or enablement practices that move AI ideas from exploration to measurable operational value
Experience with workflow automation, process mining, RPA, knowledge management, enterprise search, or digital transformation initiatives
Experience with Azure, Snowflake, dbt, APIs, and modern application or data platforms
Prior consulting, business analysis, product, forward-deployed engineering, staff-engineering, developer relations, or enablement experience where influencing and coaching others was an explicit part of the role
Strong analytical and problem-solving skills
Good judgment about what not to build, automate, or deploy with AI
Ability to prioritize competing demands, manage multiple tasks or projects, research and resolve problems independently, and make sound and timely decisions
Passion for practical AI adoption, responsible innovation, measurable efficiency improvement, and helping fellow associates build confidence with new tools and practices

Skills

Python
SQL
Snowflake
PostgreSQL
APIs
GitHub
Bitbucket
LLMs
Azure
dbt
RPA

Responsibilities

Requirements

Preferred

Skills

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