Senior AI Platform Engineer — Production-Ready AI

Jack Henry; Louisville (KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Jack Henry seeks a Senior AI Engineer to bridge AI experimentation and production engineering. You will turn AI prototypes and agent frameworks into enterprise-ready solutions while working with cybersecurity, cloud infrastructure, and AI governance teams to ensure compliance and reliability.

You will drive production readiness, mentor engineers, and help adopt AI technologies and agentic workflows across the organization. This is a hybrid role with in-office days at multiple locations.

Qualifications

• Minimum of 6 years of software development experience.
• Production ownership of AI systems (AI agents, AI features in products, MCP servers).
• Experience with a major cloud environment (GCP, AWS, or Azure).
• Experience with unit testing and end-to-end automated testing.
• Experience with Kubernetes.

Responsibilities

• Lead AI proofs of concept to production-ready software.
• Provide technical/engineering support for applications from delivery to retirement.
• Develop, test and review applications based on requirements and best practices.
• Collaborate with cybersecurity, cloud, architecture and business teams to deliver AI solutions.
• Lead unit tests, integration tests, and evals for AI systems.
• Document technical standards and create required technical documentation.
• Stay updated with AI trends and propose innovative solutions.

Skills

Software development

AI production ownership

Cloud platforms

Unit testing

Kubernetes

LLMs & vector DBs

Travel up to 10%

Tools

Kubernetes

Job description

Jack Henry seeks a Senior AI Engineer to bridge AI experimentation and production engineering. You will turn AI prototypes and agent frameworks into enterprise-ready solutions while working with cybersecurity, cloud infrastructure, and AI governance teams to ensure compliance and reliability.

You will drive production readiness, mentor engineers, and help adopt AI technologies and agentic workflows across the organization. This is a hybrid role with in-office days at multiple locations.