Senior AI Engineer
Senior AI Engineer
Posted today
SENIORITY
Lead
About the role
- 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.
- What you'll need to have:
- 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.
- What would be nice for you 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 (e.g. controlling for bias), and validation.
- Experience with AI observability, evals, and model monitoring.
Before you apply
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Your profile is current
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A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
