AI Analyst, Sr – AI Forward Deployed Engineer

Pathward

WorldwideFully remoteFull TimeSeniorInformation Technology
USD 86,000–145,000 a yearPosted 4h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 4 hours ago · apply link checked 3 hours ago

About the role

Responsibilities

  • Serve as technical bridge between stakeholders and AI/engineering teams
  • Assess infrastructure, security, integrations and dependencies for production AI deployments
  • Evaluate data availability, quality, lineage and governance
  • Configure, integrate and deploy AI solutions including models, workflows and data pipelines
  • Translate AI prototypes into scalable, production-grade solutions
  • Enable business adoption through documentation, demonstrations and knowledge transfer

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems or equivalent experience
  • 5+ years in customer-facing or deployment-oriented technical roles
  • Understanding of data-driven systems and AI/ML platforms
  • Familiarity with MLOps, model lifecycle and LLM-based solutions
  • Strong communication skills across technical and non-technical stakeholders

Preferred Qualifications

  • Deploying AI or analytics solutions in regulated environments
  • Familiarity with Azure, AWS or GCP and enterprise data ecosystems
  • Supporting solutions from pilot through production rollout

Benefits

  • Annual performance-based incentive opportunity
  • Health insurance, 401(k), life insurance, disability benefits and paid time off

About the Company

  • Pathward is a financial empowerment company focused on financial inclusion and access.

What we look for

  • Bachelor's degree in Computer Science, Engineering, Information Systems or equivalent experience
  • 5+ years in customer-facing or deployment-oriented technical roles
  • Understanding of data-driven systems and AI/ML platforms
  • Familiarity with MLOps, model lifecycle and LLM-based solutions
  • Strong communication skills across technical and non-technical stakeholders
  • Deploying AI or analytics solutions in regulated environments
  • Familiarity with Azure, AWS or GCP and enterprise data ecosystems
  • Supporting solutions from pilot through production rollout
AWSAzureGCPData AnalysisCloudLLMAI/MLMLOps
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