Senior AI Engineer: Production-Ready AI for Fintech

Jack Henry & Associates, Inc.

Birmingham (AL)

Hybrid

USD 140,000 - 170,000

Full time

14 days+
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Job summary

Jack Henry & Associates, Inc. is seeking a Senior AI Engineer to turn AI prototypes into production-ready software. You will own AI systems, collaborate with cybersecurity and cloud teams, and mentor engineers while delivering reliable, auditable AI-driven workflows.

The role is hybrid with preferred in-office collaboration at select locations. The ideal candidate has 6+ years in software development, cloud experience (GCP/AWS/Azure), Kubernetes, and strong testing capabilities.

Qualifications

  • Minimum 6 years of software development experience.
  • Production ownership of AI systems.
  • Experience with major cloud environments (GCP, AWS, or Azure).
  • Experience with unit testing and end-to-end automated testing.
  • Experience with Kubernetes.
  • Willingness to travel up to 5%.

Responsibilities

  • Lead system analysis and translate AI proofs of concept to production-ready software.
  • Provide technical and engineering support from delivery until retirement of applications.
  • Develop, test and review applications per requirements and best practices; use agentic workflows.
  • Collaborate with cybersecurity, cloud infrastructure, and AI governance teams.
  • Mentor engineers and work with internal users to shape POCs into scalable software.
  • Lead unit/integration tests and evals to ensure reliability, security, and performance of AI systems.

Skills

AI systems ownership
Cloud environments
Unit testing
Kubernetes
Autonomy
Travel flexibility

Education

Bachelor's degree (preferred)

Job description

Jack Henry & Associates, Inc. is seeking a Senior AI Engineer to turn AI prototypes into production-ready software. You will own AI systems, collaborate with cybersecurity and cloud teams, and mentor engineers while delivering reliable, auditable AI-driven workflows.

The role is hybrid with preferred in-office collaboration at select locations. The ideal candidate has 6+ years in software development, cloud experience (GCP/AWS/Azure), Kubernetes, and strong testing capabilities.

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