Senior AI Engineer - Production-Grade AI & Scale (Hybrid)

DataJobs; Springfield (MO); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Outstanding benefit programs

Job summary

Jack Henry & Associates seeks a Senior AI Engineer in a hybrid Springfield, MO role to bridge AI experimentation with production engineering. You will deliver reliable, enterprise-ready AI systems, collaborating with security, quality, and architecture teams to ensure compliance and governance.

You will own production AI capabilities, lead production-grade development, and mentor engineers while advancing observability, testing, and documentation across projects.

Qualifications

• 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.
• Travel up to 10% for internal meetings.

Responsibilities

• Lead and move AI proofs of concept into production-ready software, including research when patterns are not established.
• Provide engineering support across the lifecycle from code delivery to application retirement.
• Develop, test, and review applications aligned to business requirements and best practices.
• Create technical documentation and participate in cross-functional discussions and meetings.
• Mentor engineers and drive adoption of AI technologies and agentic workflows.

Skills

Production ownership of AI systems

Cloud environments (GCP, AWS, Azure)

Kubernetes

LLMs

Vector databases

Unit testing

End-to-end testing

AI governance

Observability

Mentoring engineers

Education

Bachelor's degree

Tools

Terraform

AI Gateway services

Job description

Jack Henry & Associates seeks a Senior AI Engineer in a hybrid Springfield, MO role to bridge AI experimentation with production engineering. You will deliver reliable, enterprise-ready AI systems, collaborating with security, quality, and architecture teams to ensure compliance and governance.

You will own production AI capabilities, lead production-grade development, and mentor engineers while advancing observability, testing, and documentation across projects.