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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Architect - Remote (WFH) - **Company:** Cognitive Medical Systems - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $160,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automation of Tests, Content Analysis, Data Cleansing, Data Governance, Python (Programming Language), Machine Learning, Natural Language Processing, Pattern Recognition, Azure Machine Learning, Data Processing, Large Language Models, Prompt Engineering, Information Technology, Machine Learning Operations, GXP, Databricks - **Published:** August 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=39c4f2cd206f53db ## About the Role * Bachelor's degree in Computer Science, Data Science, Machine Learning, or related field; 10 or more years in AI/ML development including production model deployment. * Hands-on Python expertise for ML model development, data preparation, and validation. * Experience with AWS AI/ML services: SageMaker,Comprehend, Rekognition, or Bedrock; or equivalent platforms in a federal cloud environment. * Experience with NLP, LLM integration, and prompt engineering for document analysis and workflow automation. * Experience with Databricks AutoML, MLflow, or equivalent MLOps tooling for model lifecycle management. * Experience ensuring AI solutions comply with federal data governance, privacy, and security requirements including FISMA and CMS ARS. * Ability to pass CMS and internal required background checks for public trust. ## Description *This position is contingent upon contract award* The AI Architect is the hands-on AI and Machine Learning implementation specialist for the CMS Drug Data Processing System (DDPS) and Payment Reconciliation System (PRS). This individual builds, validates, and deploys AI and ML solutions within CMS-approved use cases, including automated PDE anomaly detection, predictive analytics, LLM-assisted documentation and requirements processing, AI-enhanced BI dashboards, and intelligent workflow automation in strict compliance with CMS AI governance requirements and under direction from the AI Transformation Engineer. This is a remote position; however, Cognitive hires only in the following designated U.S. states based on contract and business requirements: VA, DC, MD, TN, FL, AZ, CO, OR, and TX., * Develop, test, and deploy CMS-approved AI/ML proof-of-concepts, pilots, and production implementations within the DDPS environment. * Build ML models for automated PDE editing and anomaly detection; identifying outliers, errors, and patterns in PDE data requiring further validation. * Develop predictive analytics supporting Part D program trend analysis, MDP/CGDP outlier identification, and manufacturer dispute pattern recognition. * Implement NLP solutions to support analysis of program memoranda, legislative changes, and guidance documents to accelerate Participant Guide maintenance and impact assessments. * Leverage LLM-assisted tools for AI-assisted development, automated test generation, documentation drafting, and intelligent workflow orchestration across DDPS delivery. * Prepare AI model data, implement models, andvalidateoutputs; ensure all AI-generated outputs include human-in-the-loop review for high-stakes decisions. * Maintain full AI model documentation, bias detection records, and explainability artifacts required by CMS AI governance; support quarterly AI Governance Report production. ## Related Videos - [RPA in the Public Sector](https://www.wearedevelopers.com/videos/86-rpa-in-the-public-sector) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [From Global Capability Centers to AI-Powered Command Centers](https://www.wearedevelopers.com/videos/100096-from-global-capability-centers-to-ai-powered-command-centers) - [Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base](https://www.wearedevelopers.com/videos/6-anomaly-detection-using-unsupervised-machine-learning-for-detecting-anomalies-in-customer-base) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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