Senior AI Platform Engineer (Hybrid)

Jack Henry

Overland Park (KS)

Hybrid

USD 140,000 - 190,000

Full time

7 days ago
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Job summary

Jack Henry is seeking a Senior AI Engineer to bridge AI experimentation and production engineering. You will turn AI prototypes into reliable, enterprise-ready solutions, collaborating with cybersecurity, cloud infrastructure, and AI governance teams to ensure compliance and scalable deployment.

The role emphasizes production ownership of AI systems, strong cloud experience, and leadership in adoption of AI technologies across the organization.

Qualifications

  • Minimum 6 years of technical software development experience.
  • Production ownership of AI systems (AI agents, 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.
  • Experience with LLMs and vector databases.

Responsibilities

  • Performs and leads system analysis and programming activities to take AI proofs of concept to production-ready software; includes research for new patterns and timely delivery.
  • Provides technical/engineering support for new and existing applications from code delivery until retirement.
  • Develops, tests and reviews applications based on requirements and best practices; uses agentic development workflows to modify code.
  • Collaborates with quality and security partners to ensure timely delivery of high-quality products.
  • Leads cross-team work as projects dictate and defines scope, timelines, and expectations.

Skills

AI Production
Cloud Platforms
Kubernetes
Unit Testing
E2E Testing
LLMs & Vector DBs

Tools

Terraform
CI/CD Pipelines

Job description

Jack Henry is seeking a Senior AI Engineer to bridge AI experimentation and production engineering. You will turn AI prototypes into reliable, enterprise-ready solutions, collaborating with cybersecurity, cloud infrastructure, and AI governance teams to ensure compliance and scalable deployment.

The role emphasizes production ownership of AI systems, strong cloud experience, and leadership in adoption of AI technologies across the organization.

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