Hybrid AI Adoption Coach for Software Teams

Jack Henry & Associates, Inc.

Cedar Falls (IA)

Hybrid

USD 90,000 - 130,000

Full time

14 days+

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Job summary

Jack Henry & Associates, Inc. is seeking an AI Adoption Coach to accelerate AI integration across software teams in a hybrid role with travel. The position supports alignments across Allen, TX, Cedar Falls IA, and other locations, driving measured gains while maintaining code quality.

The role blends engineering experience with coaching, develops demos and training materials, and fosters communities of practice to grow AI literacy and adoption safely and effectively.

Qualifications

  • 6+ years experience in software development, quality assurance, business analysis and/or coaching.
  • Experience programming in C#, Java, Golang, C++, JavaScript, Python or Swift.
  • Strong communication skills to explain complex topics to diverse stakeholders.
  • Proven coaching experience in regulated environments guiding technology adoption.
  • Demonstrated experience with AI principles and software engineering methods.
  • Willing to travel up to 25% for meetings, training or engagements.

Responsibilities

  • Develop prototypes, utilities, and tools to facilitate AI adoption in development teams.
  • Assess AI literacy, identify gaps, and craft customized coaching for each unit.
  • Create outcome-focused learning paths including courses, microbursts, and on-the-job experiences.
  • Foster a continuous learning culture through microlearning, coaching, and communities of practice.
  • May perform other job duties as assigned.

Skills

6+ years experience
Programming languages
Communication skills
Coaching experience
AI principles
Travel up to 25%

Education

Bachelor's degree

Job description

Jack Henry & Associates, Inc. is seeking an AI Adoption Coach to accelerate AI integration across software teams in a hybrid role with travel. The position supports alignments across Allen, TX, Cedar Falls IA, and other locations, driving measured gains while maintaining code quality.

The role blends engineering experience with coaching, develops demos and training materials, and fosters communities of practice to grow AI literacy and adoption safely and effectively.

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