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Senior AI Analyst – AI Forward Deployed Engineer

🔥 4 minutes ago

🌵 Arizona, Kentucky, +4 more states – Remote

infoinfo

💵 $86k - $145k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

Where this job comes from

Posted on Pathward's careers page, not through a job board

First seen by Remote Rocketship 4 minutes ago

Logo of Pathward

Pathward

1001 - 5000 employees

🛡️ Insurance

💼 Consulting

📦 Logistics

Insurance • Consulting • Logistics

Pathward is a federally registered financial institution that provides robust banking infrastructure, proven technology resource partners, and dynamic collaboration to assist third-party partners in delivering banking programs that meet customer demands. The company focuses on providing a variety of financial solutions including issuing, acquiring, digital payments, credit solutions, and professional tax solutions, among others. Additionally, Pathward supports commercial finance through working capital, equipment finance, structured finance, and insurance premium finance. Committed to financial inclusion, Pathward powers financial access and innovation through strategic partnerships, including efforts to support renewable energy loan growth.

📋 Description

• Serve as the technical bridge between stakeholders and AI/engineering teams, translating business needs into technical, data, and solution requirements • Partner with business, product, and technology teams to understand workflows, identify high-value AI opportunities, and align solutions with business outcomes • Assess infrastructure, security, access controls, integrations, and dependencies for production AI deployment readiness • Identify and mitigate technical, operational, scalability, reliability, regulatory, and compliance risks throughout the deployment lifecycle • Evaluate data availability, quality, lineage, and governance, and address implementation gaps • Assess business-process readiness for AI-enabled automation and decision-making • Configure, integrate, and deploy AI solutions, including models, workflows, data pipelines, integrations, and supporting services • Translate AI prototypes and proofs of concept into scalable, production-grade solutions • Troubleshoot issues in pre-production and live environments • Enable business adoption through documentation, demonstrations, walkthroughs, knowledge transfer, and stakeholder feedback • Establish repeatable patterns, practices, and playbooks to improve AI implementation scalability and reusability

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent relevant experience • Typically, 5+ years of experience in customer-facing or deployment-oriented technical roles, such as solution engineering, implementation, or forward-deployed roles • Strong understanding of data-driven systems and AI/ML platforms • Ability to translate ambiguous business needs into clear technical and data requirements • Familiarity with AI/ML concepts, including MLOps, model lifecycle, and LLM-based solutions • Strong communication skills across technical and non-technical stakeholders • Preferred: Experience deploying AI or advanced analytics solutions in regulated environments • Preferred: Familiarity with cloud platforms such as Azure, AWS, or GCP and enterprise data ecosystems • Preferred: Experience supporting solutions from pilot through production rollout

🏖️ Benefits

• Annual performance-based incentive opportunity • Health insurance • 401(k) retirement benefits • Life insurance • Disability benefits • Paid time off • Comprehensive benefits package for eligible employees

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