Senior AI Engineer

Jack Henry•Monett, MO

3d•Hybrid

About The Position

At Jack Henry, we’re more than a technology company, we’re a force for good in financial services. 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, but our true impact begins with our associates. If you're ready to help transform an industry and grow with a company that values purpose, collaboration, and excellence then we’d love to meet you. This Senior AI Engineer bridges AI experimentation and production engineering. This role is responsible for turning AI prototypes, agents, and platform capabilities into reliable, secure, enterprise-ready solutions. Working closely with engineering, cloud infrastructure, cybersecurity, and AI enablement teams, they operationalize AI systems that can scale across Jack Henry while meeting compliance and governance requirements.

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.
Experience with any of the following: Large language models (LLM), vector databases.
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 10% 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

Build and support production AI capabilities including AI Gateway services, MCP integrations, agent frameworks, self-hosted inference, and AI-powered applications.
Develop testing, evaluation, monitoring, logging, and observability practices that ensure AI systems remain dependable, scalable, and auditable in production.
Partner with cybersecurity, cloud infrastructure, architecture, and business teams to design and deliver AI solutions that meet enterprise standards.
Improve AI system performance through model evaluation, operational monitoring, quality assurance, and continuous improvement practices.
Mentor engineers, establish best practices for AI development, and help drive adoption of AI technologies and agentic development workflows across the organization.
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 duties as assigned.