About this opportunity
DataJobs lists this Senior AI Engineer opportunity in springfield, Missouri. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
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Worksite address
springfield, MO, 65897, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.