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Senior AI/ML Data Science Engineer

Location: United States

Workplace Type: Remote

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overview

As a Senior AI/ML Data Science Engineer at Jack Henry, you’ll have the opportunity to drive innovation and build platforms that will help financial institutions innovate faster, differentiate strategically, and advocate for their members and communities. You’ll collaborate cross functionally with a diverse team of engineers, architects, leaders, product managers and customers to ensure we deliver high quality software that meets the needs of our users.

Our engineers manage cloud and/or on-prem solutions and are responsible for writing clean, maintainable code, implementing new features, resolving bugs, and fostering collaboration within the team. Successful engineers will have strong technical skills and effective grasp of software design principles, object-oriented programming concepts, and testing methodologies. Depending on the product group areas you contribute to, you'll have the opportunity to code in various modern languages and leverage cutting edge tools such as Scala, C#, Java, Ruby, Kotlin, Objective-C, Swift, Go, Docker, Kubernetes, Swagger/OpenAPI, Node.js, Redis, Postgres, Azure, Google Cloud (GCP) and more.

  • Full Time
  • Entry to Fellow
  • 10% Travel

success profile

What makes a successful Senior AI/ML Data Science Engineer at Jack Henry? Check out the top traits we’re looking for and see if you have the right mix.

  • Collaborative
  • Problem Solver
  • Technologically Savvy
  • Inventive
  • Communicator
  • Team player

our culture

At Jack Henry, you'll find a collaborative and supportive environment where your ideas are valued, and your contributions are recognized. We empower our associates to make a real impact on the company and the industry. We offer a comprehensive training and development program to help you stay up-to-date on the latest technologies. We are proud to be a company that embraces diversity, equity, inclusion, and belonging.

our benefits

  • Generous 401(k) Plan Matching Contributions

  • Healthcare

  • Paid Time Off (PTO) and Paid Holidays

  • Tuition Reimbursement

  • Flexible Scheduling

  • Culture of Balance

Explore Benefits

Senior AI/ML Data Science Engineer

Job Function Engineering United States Workplace Type Remote Travel 10% Date posted 03/23/2026 Job ID 16801
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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. 

As a pivotal member of the Office of the CDO’s Data Science team, you will report directly to the Head of Data Science. You won't just be building models; you will be architecting the very foundations that power high-impact AI/ML and Data driven experiences for our customers. This role is a blend of deep data engineering and robust software engineering, focused on creating production-grade systems that are scalable, secure, and reliable.

This position may be worked remotely within the United States, with the exception of California. All positions, regardless of location, may require an onsite interview or in-person onboarding requirement to verify your identity.  

What you’ll be responsible for:

  • Architect & Evolve: Design and build the platforms and applications that serve as the backbone for AI/ML at Jack Henry.
  • Full-Stack ML Engineering: Work across backend services and application layers to optimize AI/ML systems for high availability and low-latency inference.
  • Cross-Functional: Implement predictive models and multimodal integrations that solve complex financial services challenges.
  • Foundational Development: Build scalable RESTful APIs and platform components that allow teams to leverage AI/ML foundations seamlessly.
  • Security & Safety: Solve unique challenges in AI/ML safety, data security, and ethical model deployment.
  • Operational Excellence: Deliver production-ready code, ensuring every system meets rigorous standards for performance, scalability, and maintainability.
  • Develops and evaluates predictive models and algorithms to optimize data value extraction.
  • Collaborates with engineers to translate prototypes into production-ready products, services, and features, providing guidance for large-scale implementation.
  • Enhances client product experience through data analysis, ad-hoc analytics, and performance metrics.
  • Explores and analyzes data from multiple disparate sources, uncovering hidden insights to provide competitive advantages or address pressing business problems.
  • Collaborates with cross-functional teams to assemble and synthesize training datasets from diverse data sources within the data lake.
  • Prototypes, refines, develops, deploys, and scales machine learning models for AI products.
  • Communicates informed conclusions and recommendations effectively to business and IT teams, influencing organizational approaches to business challenges.
  • Selects high-value problems aligned with organizational strategic priorities.
  • May mentor less experienced peers and/or act as a team lead.
  • May perform other job duties as assigned. 

What you’ll need to have:

  • Minimum of 6 years of experience in data engineering, ML engineering, or MLOps roles. 
  • Demonstrated ownership of end-to-end ML pipelines from feature engineering to live model serving.

What would be nice for you to have:

  • Experience in regulated or financial services industries a strong plus (payments, fraud, banking, insurance).
  • Proficiency in containerization (Docker) and orchestration concepts relevant to ML workloads.
  • Infrastructure-as-code experience with Terraform for GCP resource management.
  • Version control best practices with Git; comfortable in trunk-based development and PR-review workflows.
  • Working knowledge of REST API design for model serving, and gRPC/Protocol Buffers a plus.
  • Strong collaborator and team player. Fosters a positive and productive team environment. 

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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Learn More

At Jack Henry, I’m excited to part of an inclusive culture where my work is crucial to our success. It’s exhilarating to contribute to a company that values innovation and sees my efforts as integral to its achievements. I’m proud to be part of a team where every day brings new opportunities to excel. The opportunity to network within the company has led to friendships and mentorships that are more than just professional ties—they’re lifelong bonds that enrich my career and personal growth.

career path

The career path depicted for the Software Engineer role at Jack Henry is intended as a potential roadmap, not a fixed journey, highlighting the diverse opportunities for growth and advancement within our company. It's a flexible guide, meant to inspire exploration and development in various directions based on your individual strengths and interests. We encourage open dialogue about your career aspirations, ensuring that your journey with us is tailored to your personal and professional growth.

  • Engineer I
  • Engineer II
  • Engineer III
  • Sr. Engineer
  • Staff Engineer
  • Sr. Staff Engineer
  • Fellow Engineer

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