Senior AI Engineer

Jack Henry & Associates is hiring a Senior AI Engineer for a hybrid role based in Springfield, MO (at least 1 day per week in an approved office location). This position focuses on bridging AI experimentation with production engineering so AI systems can be delivered as reliable, secure, enterprise-ready solutions , with attention to compliance and governance . You will collaborate across engineering, quality, security, and architecture to operationalize AI capabilities at scale.

What you’ll do

• Lead and perform system analysis and programming to move AI proofs of concept into production-ready software , including research when no established pattern exists.
• Provide engineering support for applications across the lifecycle, from code delivery through application retirement .
• Develop, test, and review applications aligned to business requirements and industry best practices.
• Use best practices, standard guidance, and agentic development workflows to create and modify code.
• Consider impacts of code changes on end users and internal teams , and review work produced by less experienced engineers.
• Partner with quality and security stakeholders (including cybersecurity , cloud infrastructure , and AI governance ) to support timely delivery of high-quality products.
• Work independently on critical tasks by setting and updating expectations for scope , timelines , and delivery size .
• Create required technical documentation , and participate in cross-functional discussions and meetings.
• Stay current on emerging AI technologies and industry trends, recommending improvements to software development processes.
• Adhere to departmental and corporate standards, and help define what production-ready means for AI systems at Jack Henry.

• Lead unit tests , integration tests , and evals to improve reliability, security, and performance of developed software, especially AI systems and workflows.
• Debug and troubleshoot issues as they arise, including AI-specific failure modes such as quality drift , prompt regressions , provider outages , and cost spikes .
• Contribute to product architecture when needed.
• Build and support production AI capabilities, including AI Gateway services , MCP integrations , agent frameworks , self-hosted inference , and AI-powered applications .
• Develop and improve testing, evaluation, monitoring, logging, and observability practices so AI systems remain dependable , scalable , and auditable in production.
• Improve AI system performance using model evaluation, operational monitoring, quality assurance, and continuous improvement.
• Mentor engineers, establish AI development best practices, and drive adoption of AI technologies and agentic workflows across the organization.

Minimum requirements

• 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 at least one: Large language models (LLM) , vector databases .
• Comfort with ambiguity and shifting priorities.
• Self-directed style with willingness to push through roadblocks.
• Travel up to 10% to attend internal business meetings, training, and/or professional conferences.

Technologies

• GCP, AWS, Azure
• Kubernetes
• Large language models (LLM), vector databases
• AI Gateway services, MCP integrations, agent frameworks
• Self-hosted inference
• Unit testing, end-to-end automated testing
• Observability

Benefits

Outstanding benefit programs to ensure the physical, mental, and financial well-being of people is always met.

Location and work arrangement

This position is hybrid and requires at least 1 day per week in any of the following office locations:

• Allen, TX
• Louisville, KY
• Birmingham, AL
• Cedar Falls, IA
• Charlotte, NC
• Overland Park, KS
• Monett, MO
• Springfield, MO

Immigration

This position is ineligible for immigration sponsorship and support .

What would be nice to have

• 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 (including controlling for bias), and validation.
• Experience with AI observability, evals, and model monitoring.