D
Senior AI Engineer
DataJobs
1 hour ago
Full-time
On-site
Springfield, Missouri, United States
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr