Senior Implementation Consultant
Cloudinary
AEMCloud
Senior AI Implementation Specialist – Credit Cards
Imprint
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $150,000 - $175,000 per year
Job Level
Senior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPythonSQL
About the role
- Lead the design and implementation of AI models and decision systems in credit card underwriting, fraud detection, collections, and customer engagement
- Partner with Data Science, Risk, and Compliance teams to ensure models meet regulatory requirements (e.g., Fair Lending, Reg Z, ECOA, FCRA)
- Translate business requirements into technical specifications, ensuring AI systems are scalable, explainable, and auditable
- Manage deployment of AI solutions into production, including model integration with core platforms and third-party systems
- Establish monitoring and feedback loops to measure AI system performance, fairness, and drift over time
- Collaborate with stakeholders across Product, Operations, and Finance to maximize the business impact of AI-powered initiatives
- Champion best practices for responsible AI use in financial services, including documentation, testing, and governance
- Stay current on emerging AI technologies, regulations, and fintech use cases to guide adoption
Requirements
- 8+ years of experience in artificial intelligence, machine learning, or advanced analytics, with at least 4+ years in credit cards or consumer lending
- Proven track record of deploying AI solutions in production for risk management, fraud detection, marketing personalization, or customer service automation
- Strong understanding of credit card lifecycle processes (acquisition, underwriting, servicing, fraud, collections)
- Familiarity with consumer credit regulations and compliance requirements, including model explainability and adverse action notices
- Proficiency in Python (or similar), SQL, and model deployment frameworks
- Experience with cloud-based AI/ML platforms (AWS, GCP, or Azure)
- Ability to communicate complex AI concepts clearly to technical and non-technical stakeholders
- Strong problem-solving skills and the ability to balance innovation with regulatory rigor
- Background in fintech, payments, or large-scale consumer credit portfolios (nice to have)
- Experience with deployments in industry systems (AWS Sagemaker) (nice to have)
- Knowledge of Large Language Models (LLMs) and their safe deployment in financial services (nice to have)
- Exposure to call center or chatbot AI integrations for servicing credit card customers (nice to have)
Benefits
- Competitive compensation and equity packages
- Leading configured work computers of your choice
- Flexible paid time off
- Fully covered, high-quality healthcare, including fully covered dependent coverage
- Additional health coverage includes access to One Medical and the option to enroll in an FSA
- 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents
- Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
artificial intelligencemachine learningadvanced analyticsPythonSQLmodel deployment frameworkscloud-based AI/ML platformsLarge Language Modelsmodel explainabilityrisk management
Soft skills
problem-solvingcommunicationcollaborationstakeholder engagementinnovation balancingleadershiporganizational skillsdocumentationtestinggovernance
