Senior AI Engineer

Jack Henry & Associates

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Springfield, MOAllen, TXBirmingham, ALCedar Falls, IACharlotte, NCLenexa, KSLouisville, KYMonett, MOOverland Park, KS
Posted
2 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $188k
$132k most similar roles pay here $235k

This listing doesn't post a salary. Most similar roles pay $151,475–$224,062.

Based on 240 similar postings.

Employer

About Jack Henry & Associates

Jack Henry & Associates is a US-based financial technology company providing core processing, payment, and digital banking software and services to banks and credit unions.

Jack Henry & Associates currently has 20 open roles on FindRole.

Listed pay typically runs $78,400–$123,450 across 5 roles with salary data.

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At a glance

TL;DR · Senior AI Engineer

The Senior AI Engineer joins a team focused on bridging AI experimentation and production engineering to transform prototypes into reliable, enterprise-ready solutions. You will build and support production capabilities including AI Gateway services, MCP integrations, agent frameworks, and self-hosted inference while establishing testing, monitoring, and observability practices for scalable systems. The role involves collaborating with cybersecurity, cloud infrastructure, and architecture teams to ensure compliance and governance standards are met. You will manage the full lifecycle of AI products, from initial research and coding to troubleshooting issues like quality drift and prompt regressions. Required skills include experience with Kubernetes, major cloud environments like GCP, AWS, or Azure, large language models, and vector databases. The role addresses the technical challenge of operationalizing agentic development workflows within a secure financial services environment.

What does a AI Engineer earn?

Median $211200 from 123 postings across 36 companies.

See salary data

What you'll do

  • Transform AI prototypes and proof-of-concepts into reliable, secure, and production-ready enterprise software.
  • Build and support production AI capabilities including gateway services, agent frameworks, and self-hosted inference.
  • Develop testing, evaluation, monitoring, and observability practices to ensure AI systems remain dependable and scalable.
  • Partner with cybersecurity, cloud infrastructure, and architecture teams to ensure compliance and governance standards.
  • Mentor engineers and establish best practices for AI development and agentic workflows across the organization.
  • Debug and troubleshoot issues specific to AI systems, such as quality drift, prompt regressions, and cost spikes.
  • Create technical documentation and define corporate standards for what constitutes "production-ready" AI systems.

What we're looking for

  • Must have a minimum of 6 years of technical experience in software development.
  • Experience with production ownership of AI systems, including agents, features, and MCP servers.
  • Experience with major cloud environments such as GCP, AWS, or Azure.
  • Experience with Kubernetes and automated unit/end-to-end testing.
  • Experience with large language models (LLM) or vector databases.
  • Bachelor's degree (preferred).
  • Fintech experience (preferred).
  • Experience with GCP, Terraform, cloud security, DevOps, and model fine-tuning (preferred).

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