Enterprise Technology - Applied AI Engineer

About the role

Join the Data and AI team at NBH Bank as an Applied AI Engineer. You'll help identify practical AI opportunities, build safe prototypes and production-ready solutions, and support NBH in adopting AI responsibly.

Responsibilities

• Identify practical AI opportunities and build safe prototypes and production-ready solutions
• Work directly with business, operations, risk, technology, and data partners to understand how work gets done today
• 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
• Design, evaluate, and deliver AI-powered solutions that address meaningful business problems across the organization
• 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, with clear judgment about where they create value, where they introduce risk, and where they should not be used
• 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, including the ability to facilitate discovery, teach, influence, and present effectively to both technical and business audiences

Desired Skills

• 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, with 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