AI Analyst, Sr – AI Forward Deployed Engineer

The AI Forward Deployed Engineer ensures Pathward’s AI investments deliver real, operational impact. This forward‑deployed, customer‑embedded role owns deployment readiness, data integrity, and solution delivery, working closely with AI Engineers, Data Scientists, and Architecture and Platform Engineering teams to deploy, adopt, and scale AI solutions responsibly across the enterprise. This role is deployment centric - owning the technical and operational success of AI solutions in real business environments.

Success in this role is defined by delivering deployment‑ready AI solutions that are adopted by stakeholders, enabling business‑defined outcomes, and scaling predictably across the enterprise.

• →Serve as the technical bridge between stakeholders and AI/engineering teams, translating business needs into clear 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 other dependencies to ensure environments are ready for production AI deployments.
• →Identify and mitigate technical, operational, scalability, reliability, regulatory, and compliance risks throughout the deployment lifecycle.
• →Evaluate data availability, quality, lineage, and governance, partnering with data and business teams to address gaps that could impact AI implementation.
• →Assess business processes for readiness, ensuring they are sufficiently defined, stable, and measurable to support 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 and troubleshoot issues in pre-production and live environments.
• →Enable successful business adoption through documentation, demonstrations, walkthroughs, knowledge transfer, and ongoing stakeholder feedback.
• →Capture learnings and establish repeatable patterns, practices, and playbooks that improve the scalability and reusability of AI implementations across the enterprise.

• →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 (e.g., solution engineering, implementation, 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 (e.g., MLOps, model lifecycle, LLM‑based solutions).
• →Strong communication skills across technical and non‑technical stakeholders.

• Experience deploying AI or advanced analytics solutions in regulated environments (financial services, fintech, healthcare, etc.).
• Familiarity with cloud platforms (Azure, AWS, or GCP) and enterprise data ecosystems.
• Experience supporting solutions from pilot through production rollout.

The responsibilities listed above are not all inclusive and may be changed at any time.

Salary range: $86,000 – $145,000

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We provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity, transgender status, pregnancy, national origin, age (age 40 and over), disability, genetic information, marital status, hair texture or hairstyle, ancestry, service in the uniformed services, protected veteran status, status as a victim of domestic violence or any other class protected by federal, state and local laws.

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