Senior AI Engineer — Production-Grade AI & Observability

Jack Henry & Associates, Inc.

Cedar Falls (IA)

Hybrid

USD 120,000 - 190,000

Full time

14 days+

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Job summary

Jack Henry & Associates, Inc. is hiring a Senior AI Engineer to transform AI proofs of concept into production-ready software. You will work on platforms like the AI Gateway and MCP servers, collaborating with cybersecurity and cloud teams to deliver secure, observable AI workflows.

The role requires building reliable AI systems in a production environment, guiding engineering teams, and mentoring junior engineers in a hybrid office setting across multiple US locations.

Qualifications

  • Minimum 6 years of technical experience in software development.
  • 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

  • Perform and lead system analysis and programming to take AI proofs of concept to production-ready software.
  • Lead technical/engineering support for new and existing applications from code delivery to retirement.
  • Develop, test and review applications based on business requirements and best practices, using agentic development workflows.
  • Collaborates with security partners and AI governance to ensure timely delivery of high-quality products.
  • Lead tests (unit/integration/evals) to ensure reliability, security, and performance of AI systems.

Skills

6+ years software development
AI production ownership
Cloud environments (GCP/AWS/Azure)
Kubernetes
Unit testing & end-to-end testing
Travel up to 5%

Education

Bachelor's degree

Tools

Terraform

Job description

Jack Henry & Associates, Inc. is hiring a Senior AI Engineer to transform AI proofs of concept into production-ready software. You will work on platforms like the AI Gateway and MCP servers, collaborating with cybersecurity and cloud teams to deliver secure, observable AI workflows.

The role requires building reliable AI systems in a production environment, guiding engineering teams, and mentoring junior engineers in a hybrid office setting across multiple US locations.

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