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About This Role
At Jack Henry, we’re more than a technology company, we’re a force for good in financial services. We’re redefining how community banks and credit unions connect with the people they serve. Our mission is rooted in people inspired innovation, empowering financial institutions to deliver seamless, secure, and human centered experiences. We deliver cutting-edge solutions that are paving the way for the next generation of digital banking and payments, but our true impact begins with our associates. If you're ready to help transform an industry and grow with a company that values purpose, collaboration, and excellence then we’d love to meet you.
Jack Henry is looking for an AI Consultant to lead strategic engagements that help financial institutions move from AI interest to practical, high-value execution. As the lead advisor in our model, you will partner directly with our specialized AI team to guide client organizations through critical service areas including board strategy, risk governance, employee adoption, and agent enablement. If you excel at bridging the gap between cutting-edge Generative AI and real-world financial outcomes, this is your opportunity to shape an AI-ready future for financial institutions.
This position is a hybrid role requiring at least 1 day per week in any of the following office locations: Allen, TX, Birmingham, AL, Cedar Falls, IA, Charlotte, NC, Overlandpark, KS, Louisville, KY, Monett, MO or Springfield, MO.
This position is ineligible for immigration sponsorship and support. Please do not apply if at any time you will need immigration support now or in the future (i.e., H-1B, PERM). What you’ll be responsible for:* Leads and executes comprehensive business process discovery efforts within functional departments (e.g., Finance, HR, Legal, Marketing, Operations) at a strategic level
- Facilitates value stream mapping sessions to visualize current state processes, identify bottlenecks, and pinpoint areas ripe for AI intervention
- Designs and leads engaging workshops with cross-functional teams to collaboratively identify challenges, brainstorm AI-driven solutions, and build consensus
- Applies a strong understanding of generative AI technologies (e.g., large language models, content generation, code generation) to identify practical applications within identified business processes
- Evaluates the feasibility, potential impact, and return on investment (ROI) of proposed AI solutions.
- Develops clear and concise recommendations for AI-powered solutions, outlining the proposed technology, implementation steps, and anticipated benefits
- Partners with functional teams and IT to support the successful implementation of AI solutions, providing guidance and expertise throughout the project lifecycle
- Assists in the development and execution of change management strategies to ensure smooth adoption of new AI-driven processes
- Contributes to the development of internal best practices and knowledge sharing around AI applications within the organization
- Stays abreast of the latest advancements in generative AI and business process improvement methodologies
- May perform other job duties as assigned. What you’ll need to have:* Must have a minimum of 9 years combinaton of experience in any of the following categories: consulting, business transformation and or technology advisor.
- Must have experience in Technology and financial services.
- Experience leading customer-facing workshops, consulting engagements, and strategic advisory initiatives.
- Experience presenting to senior leadership, executive stakeholders, and boards.
- Experience building generative AI solutions for a variety of business partners.
- Must be able to travel up to 25% to attend internal business meetings, training and or client engagements. What would be nice for you to have:* Familiarity with the NIST AI Risk Management Framework or evolving AI regulatory standards applicable to financial institutions.
- Familiarity with core banking platforms, common financial institution tech stacks, and typical FI operational workflows.
- Hands-on familiarity with enterprise AI platforms such as Microsoft Copilot, Google Gemini, or enterprise LLM frameworks.
- Understanding of AI Agentsto collaborate effectively with technical AI Engineers.
- Experience partnering with Account Executives (AEs) to help qualify client readiness, scope consulting proposals, or frame commercial engagements.
If you got this far, we hope you're feeling excited about this opportunity. Even if you don't feel you meet every single requirement on this posting, we still encourage you to apply. We’re looking for passionate, driven individuals who align with our mission and can bring unique perspectives to our team.
Why Jack Henry?
At Jack Henry, we live by the motto: “Do the right thing, do whatever it takes, and have fun.” It’s more than a tagline, it’s the foundation of our culture. We recognize that our associates are the key to our success, and we’re deeply committed to their wellbeing. That’s why we offer comprehensive benefits designed to support your physical, mental, and financial health so you can thrive both personally and professionally.
We’re also leading the way in technology modernization, helping financial institutions evolve with speed, security, and flexibility. Our strategy focuses on delivering secure data access, mitigating fraud, and enabling seamless integration. Empowering our teams to build innovative solutions that meet the evolving needs of accountholders.
Culture of Commitment
Ask our associates why they love Jack Henry, and many will tell you it is because our culture is exceptional. We do great things together. Our culture empowers us to rise to challenges, seek new opportunities, and support one another through change. It’s this shared commitment that drives our success. We’re proud to foster an environment where inclusion, sustainability, and community impact are more than values, they’re how we operate. Visit our Corporate Sustainability site to learn more about our culture and commitment to our people, customers, community, environment, and shareholders.
Equal Employment Opportunity
At Jack Henry, we know we are better together. We value, respect, and protect the uniqueness each of us brings. Innovation flourishes by including all voices and makes our business - and our society - stronger. Jack Henry is an equal opportunity employer and we are committed to providing equal opportunity in all of our employment practices, including selection, hiring, performance management, promotion, transfer, compensation, benefits, education, training, social, and recreational activities to all persons regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, genetic information, pregnancy, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, and military and veteran status, or any other protected status protected by local, state or federal law.
No one will be subject to, and Jack Henry prohibits, any form of discipline, reprisal, intimidation, or retaliation for good faith reports or complaints of discrimination of any kind, pursuing any discrimination claim, or cooperating in related investigations.
Requests for full corporate job descriptions may be requested through the interview process at any time.
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Role Details
About This Role
This role sits at the intersection of AI and engineering, building systems that bring machine learning capabilities into production environments. The scope varies by company, but the common thread is applying AI technology to solve real business problems at scale. Most AI roles today require a combination of software engineering fundamentals and domain-specific ML knowledge, with the exact mix depending on the team's maturity and the product they're building.
The AI job market is evolving fast. New role categories emerge as companies figure out what they need to ship AI-powered products. What matters most is the ability to learn quickly, build working systems, and iterate based on real-world performance data. The specific title matters less than the skills you bring and the problems you can solve. Companies are past the experimentation phase and want engineers who can deliver production-quality systems that work reliably at scale.
Across the 9,079 AI roles we're tracking, AI Consultant positions make up 0% of the market. At Jack Henry & Associates, this role fits into their broader AI and engineering organization.
AI hiring keeps growing across industries. Companies in tech, finance, healthcare, and retail are all building AI teams. The strongest demand is for people who can bridge the gap between AI research and production engineering. The shift toward generative AI has created new role types (LLM Engineer, Prompt Engineer, AI Agent Developer) that didn't exist three years ago, while traditional roles (Data Scientist, ML Engineer) have evolved to incorporate LLM capabilities.
What the Work Looks Like
Day-to-day work involves a mix of building, debugging, and collaborating. You'll write code, review pull requests, participate in design discussions, and work with cross-functional teams (product, design, data) to define what AI features should do and how they should behave. Expect to spend time on both technical implementation and communication. Most AI teams operate in two-week sprint cycles, with regular demos and retrospectives. The ratio of heads-down coding to meetings and reviews varies by seniority, with senior roles spending more time on architecture decisions and mentorship.
AI hiring keeps growing across industries. Companies in tech, finance, healthcare, and retail are all building AI teams. The strongest demand is for people who can bridge the gap between AI research and production engineering. The shift toward generative AI has created new role types (LLM Engineer, Prompt Engineer, AI Agent Developer) that didn't exist three years ago, while traditional roles (Data Scientist, ML Engineer) have evolved to incorporate LLM capabilities.
Skills Required
Python and cloud platform experience are common requirements. Specific skill needs vary by company and focus area, but familiarity with ML frameworks, data pipelines, and API design covers the basics for most roles. RAG (Retrieval-Augmented Generation), vector databases, and LLM API integration are increasingly standard requirements across role types.
Beyond the core stack, communication skills matter more than many technical candidates realize. The ability to explain AI capabilities and limitations to non-technical stakeholders is a differentiator at every level. Technical writing, documentation, and clear thinking about tradeoffs are underrated skills in AI roles. Experience with evaluation methodology (how to measure whether an AI system is working well) is becoming a core requirement, especially for roles that involve LLM integration.
Look for job postings that specify the problems you'll work on, the tech stack, and the team structure. Vague postings that list every AI buzzword are often a sign the company hasn't figured out what they need. Strong postings describe the product context, the team you'd join, and the specific challenges you'd tackle.
Compensation Benchmarks
AI Consultant roles pay a median of $156,360 based on 21 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200.
Across all AI roles, the market median is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($256,000) and Research Engineer ($252,000). By seniority level: Entry: $111,000; Mid: $193,200; Senior: $229,300; Director: $272,300; VP: $235,830.
Jack Henry & Associates AI Hiring
Jack Henry & Associates has 1 open AI role right now. They're hiring across AI Consultant. Based in Springfield, MO, US.
Location Context
Across all AI roles, 6% (531 positions) offer remote work, while 8,478 require on-site attendance. Top AI hiring metros: New York (3,078 roles, $221,000 median); San Francisco (2,646 roles, $261,000 median); Los Angeles (1,486 roles, $210,000 median).
Career Path
Common paths into AI Consultant roles include Software Engineer, Data Scientist, Data Analyst.
From here, career progression typically leads toward Senior Engineer, AI Architect, Engineering Manager, Principal Engineer.
Focus on building things that work. A deployed project that solves a real problem is worth more than any certification. Contribute to open-source, build portfolio projects, and invest in fundamentals (software engineering, statistics, systems design) rather than chasing the latest framework. The AI field moves fast, but the engineers who succeed long-term are the ones with strong fundamentals who can adapt to new tools and paradigms as they emerge.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Look for job postings that specify the problems you'll work on, the tech stack, and the team structure. Vague postings that list every AI buzzword are often a sign the company hasn't figured out what they need. Strong postings describe the product context, the team you'd join, and the specific challenges you'd tackle.
AI Hiring Overview
The AI job market has 9,079 open positions tracked in our dataset. By seniority: 106 entry-level, 4,384 mid-level, 3,343 senior, and 1,246 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (531 positions). The remaining 8,478 roles require on-site or hybrid attendance.
The market median for AI roles is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($256,000 median, 66 roles); Research Engineer ($252,000 median, 457 roles); AI Engineering Manager ($251,622 median, 55 roles).
AI hiring keeps growing across industries. Companies in tech, finance, healthcare, and retail are all building AI teams. The strongest demand is for people who can bridge the gap between AI research and production engineering. The shift toward generative AI has created new role types (LLM Engineer, Prompt Engineer, AI Agent Developer) that didn't exist three years ago, while traditional roles (Data Scientist, ML Engineer) have evolved to incorporate LLM capabilities.
The AI Job Market Today
The AI job market spans 9,079 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,862), AI Product Manager (453), AI Software Engineer (451). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (106) are outnumbered by mid-level (4,384) and senior (3,343) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,246 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (531 positions), with 8,478 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,000. Top-quartile roles start at $263,911, and the 90th percentile reaches $318,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $256,000 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,649 postings), Aws (898 postings), Azure (723 postings), Rag (671 postings), Gcp (536 postings), Pytorch (434 postings), Claude (410 postings), Kubernetes (406 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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