Senior AI Engineer

Jack Henry•Monett, MO

6d•Hybrid

About The Position

At Jack Henry, we’re redefining how community banks and credit unions connect with the people they serve. Our mission is rooted in people inspired innovation, empowering financial institutions to deliver seamless, secure, and human centered experiences. We deliver cutting-edge solutions that are paving the way for the next generation of digital banking and payments. The AI Platform team is hiring a Senior AI Engineer to turn promising prototypes into systems people can depend on. We build the platform that AI runs on at Jack Henry, consisting of projects like The Garage (our hosting platform for vibe-coded apps), The AI Gateway (routes and governs AI requests enterprise-wide), MCP servers connecting agents to our core banking systems, and Self-hosted inference. Your job is to make it production-ready by ensuring reliable AI workflows with real validation, error handling, retries, logging, and fallback behavior, developing evals and automated testing for agentic systems, and implementing monitoring that detects quality drift before users do. You'd work directly with internal users, bring in experts from cybersecurity and cloud infrastructure, partner with AI coaches, and mentor engineers. You'd also use agentic workflows to do the work itself. We're looking for someone who has shipped scalable, maintainable production software and has run AI systems in production. Financial services requires that everything we ship has to be observable, auditable, policy-bounded, and explainable. This position is a hybrid role requiring at least 1 day per week in an office location.

Requirements

Must have a minimum of 6 years of technical experience in software development.
Production ownership of AI systems (AI agents, AI features in products, MCP servers, etc).
Experience with a major cloud environment (GCP, AWS, or Azure).
Experience with unit testing and end-to-end automated testing.
Experience with Kubernetes.
Comfort with ambiguity and shifting priorities.
Must be self-directed, and willing to push through roadblocks rather than wait them out.
Must be able to travel up to 5% to attend internal business meetings, training and/or professional conferences.

Nice To Haves

Bachelor’s degree.
Fintech experience.
Experience with GCP and infrastructure as code (Terraform).
Experience in cloud security and DevOps.
Experience with model fine-tuning, evaluation (e.g. controlling for bias), and validation.
Experience with AI observability, evals, and model monitoring.

Responsibilities

Performs and leads system analysis and programming activities that take AI proofs of concept to production-ready software — including the research needed where no established pattern exists yet, and timely, quality delivery into production.
Performs, and may lead, technical/engineering support for new and existing applications from code delivery until the retirement of the application.
Develops, tests and reviews applications based on business requirements and industry best practices. Uses best practices, standard guidance, and agentic development workflows to create and modify code.
Considers how code changes will affect end users and internal teams.
Reviews code created by less experienced team members.
Collaborates with quality and security partners — cybersecurity, cloud infrastructure, and AI governance — to ensure timely delivery of high-quality products.
Performs and may lead work with cross-team as projects dictate.
Works on and leads critical tasks and deliverables with no assistance, and sets and updates expectations on size, scope, and timelines.
Participates in and may lead team in cross-functional meetings and discussions.
Creates required technical documentation.
Stays updated with emerging AI technologies and industry trends, recommending innovative solutions to improve software development processes.
Adheres to documented departmental and corporate standards.
Participates in the definition and documentation of standards — including what "production-ready" means for AI systems at Jack Henry.
Lead unit tests, integration tests, and evals to ensure the reliability, security, and performance of developed software, especially AI systems and workflows.
Debugs and troubleshoots issues as they arise, providing timely resolutions — including failure modes specific to AI systems, like quality drift, prompt regressions, provider outages, and cost spikes.
May contribute to product architecture.
May perform other job duties as assigned.