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Project Name: SNAP Payment Error Rate (CAP) Reduction Project
SNAP Payment Error Rate (CAP) reduction initiative is a top-priority, agency-wide strategic effort aimed at mitigating federal oversight findings and avoiding substantial financial penalties amounting to millions of dollars. In partnership with McKinsey, the agency is leveraging artificial intelligence, Robotic Process Automation and advanced analytics to strengthen eligibility, case processing accuracy, and quality control review. This initiative will modernize error detection, introduce proactive prevention capabilities, and enhance operational decision-making through data-driven insights. The outcome is expected to reduce payment inaccuracies, accelerate case resolution, improve compliance, and increase public trust in program integrity.
TASKS & DUTIES:
If you are interested in getting more information about this opportunity, please contact Irina Rozenberg Recruiting@arielpartners.com at your earliest convenience.
At Ariel Partners, we solve the most difficult problems that inhibit technology from enabling our customers to achieve their goals. Our vision is to be recognized by our stakeholders as an elite provider of IT solutions, so when they have their biggest challenges, we are on their short list. We are looking for team members who share our values of: Integrity to do the right thing even when it hurts; Commitment to the long-term success and happiness of our customers, our people, and our partners; Courage to take on difficult challenges, accept new ideas, and accept incremental failure; and the constant pursuit of Excellence. Ariel Partners is an Equal Opportunity Employer in accordance with federal, state, and local laws.
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Project Name: SNAP Payment Error Rate (CAP) Reduction Project
SNAP Payment Error Rate (CAP) reduction initiative is a top-priority, agency-wide strategic effort aimed at mitigating federal oversight findings and avoiding substantial financial penalties amounting to millions of dollars. In partnership with McKinsey, the agency is leveraging artificial intelligence, Robotic Process Automation and advanced analytics to strengthen eligibility, case processing accuracy, and quality control review. This initiative will modernize error detection, introduce proactive prevention capabilities, and enhance operational decision-making through data-driven insights. The outcome is expected to reduce payment inaccuracies, accelerate case resolution, improve compliance, and increase public trust in program integrity.
TASKS & DUTIES:
- Design and develop web applications, APIs, microservices using C#, .NET Core, REST, and modern UI frameworks.
- Fine-tuning and deploying Large Language Models (LLM) such as Claude, ChatGPT, or similar models using Amazon Web Services (AWS) Bedrock and Python frameworks
- Optimizing, designing and/or deploying Retrieval Augmented Generation (RAG) vector databases.
- Optimize database performance, manage stored procedures, and ensure data quality across Oracle and cloud data platforms.
- Deploy and monitor applications and models using CI/CD pipelines, Docker, Kubernetes, GitHub Actions, Azure DevOps, Jenkins, etc. and MLOps/LLMOps practices.
- Ensure platform security, compliance, logging, observability, and performance tuning across environments.
- Participate in requirements review, sprint planning, code reviews, release management, and documentation.
- Support production releases, perform troubleshooting, and deliver timely resolution to technical issues.
- Minimum 10 years of experience in Programming: .NET Core, C#, Python
- Minimum 5 years of experience in AI/ML/NLP: LangChain, LangGraph, LlamaIndex, NLP models, RAG vector databases, model deployment
- Minimum 7 years of experience with Database: Oracle SQL/PL-SQL, ER design, query optimization.
- Minimum 7 years of experience in Microservices & Web: REST APIs, MVC, Web API, JSON, OAuth, SSO, microservices architecture.
- Minimum 7 years of experience in Cloud & DevOps: Azure, AWS or GCP, Docker, CI/CD, API gateways, including AI-specific services like AWS Bedrock and SageMaker AI
- Minimum 10 years of experience with strong debugging, performance tuning & secure coding practices.
- Minimum 10 years of experience with demonstrated experience delivering mid-to-large scale enterprise applications and integrations.
If you are interested in getting more information about this opportunity, please contact Irina Rozenberg Recruiting@arielpartners.com at your earliest convenience.
At Ariel Partners, we solve the most difficult problems that inhibit technology from enabling our customers to achieve their goals. Our vision is to be recognized by our stakeholders as an elite provider of IT solutions, so when they have their biggest challenges, we are on their short list. We are looking for team members who share our values of: Integrity to do the right thing even when it hurts; Commitment to the long-term success and happiness of our customers, our people, and our partners; Courage to take on difficult challenges, accept new ideas, and accept incremental failure; and the constant pursuit of Excellence. Ariel Partners is an Equal Opportunity Employer in accordance with federal, state, and local laws.