Senior AI Engineer
Requirements
- 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.
- Self‑directed, willing to push through roadblocks rather than wait them out.
- Able to travel up to 10% to attend internal business meetings, training and/or professional conferences.
Qualifications
- Bachelor’s degree (nice to have).
- Fintech experience (nice to have).
- Experience with GCP and infrastructure as code (Terraform) (nice to have).
- Experience in cloud security and DevOps (nice to have).
- Experience with model fine‑tuning, evaluation (e.g. controlling for bias), and validation (nice to have).
- Experience with AI observability, evals, and model monitoring (nice to have).
Benefits
Jack Henry offers outstanding benefit programs to ensure the physical, mental & financial well‑being of its associates.
Schedule
Hybrid role requiring 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; or Springfield, MO.
We need to ensure no extra text, just HTML fragment. No markdown fences. Ensure proper closing tags.About the role
At Jack Henry, we deliver technology solutions that are digitally transforming and empowering community banks and credit unions to provide enhanced and streamlined user experiences to their customers and members. Our best-in-class products are just the start as we lay the groundwork for the future of digital banking and payments. 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.
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.
Requirements
- 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.
- Self‑directed, willing to push through roadblocks rather than wait them out.
- Able to travel up to 10% to attend internal business meetings, training and/or professional conferences.
Qualifications
- Bachelor’s degree (nice to have).
- Fintech experience (nice to have).
- Experience with GCP and infrastructure as code (Terraform) (nice to have).
- Experience in cloud security and DevOps (nice to have).
- Experience with model fine‑tuning, evaluation (e.g. controlling for bias), and validation (nice to have).
- Experience with AI observability, evals, and model monitoring (nice to have).
Benefits
Jack Henry offers outstanding benefit programs to ensure the physical, mental & financial well‑being of its associates.
Schedule
Hybrid role requiring 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; or Springfield, MO.