> Markdown version of [/jobs/ext/132342-chief-technology-officer-ai](https://www.wearedevelopers.com/jobs/ext/132342-chief-technology-officer-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Chief Technology Officer AI - **Company:** OpenKyber LLC - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Computing Platforms, Audit Trail, Automation of Tests, Cloud Computing, Continuous Integration, Data Integration, Database Models, DevOps, Amazon DynamoDB, Fraud Prevention and Detection, JSON, Python (Programming Language), Metadata, NoSQL, Cloud Services, Software Engineering, SQL Databases, Management of Software Versions, Extensible Markup Language (XML), YAML, Event Driven Architecture, Build Management, Amazon Relational Database Service, Containerization, Git Flow, Kubernetes, Deployment Automation, Apache Kafka, QNXT, Docker, Microservices - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=40a83d481f725ddc ## About the Role Location: St. Louis, MO. Need Locals. Note: For this position, the client is specifically seeking candidates with hands-on experience in Healthcare Payment Integrity and Healthcare Claims processing ., * 10+ years of software engineering experience. * 3+ years leading engineering teams or owning platform architecture. * Strong proficiency in: + Python or Java (both preferred) * Proven experience building configuration-driven systems. * Strong database modeling expertise (SQL & NoSQL). * Experience designing JSON/YAML/XML configuration interpreters. * Hands-on experience with Kafka and event-driven architecture. * Experience with AWS cloud services (EKS, ECS, Lambda, S3, RDS, DynamoDB). * Strong grasp of CI/CD, Docker, Kubernetes, and GitOps. * Strong knowledge of healthcare systems with focus on Payment Integrity. Good to Have * Exposure to the Machinify platform or similar AI-driven payment integrity systems. * Experience integrating rule engines with AI/ML-based fraud detection systems. ## Description Role: Lead Engineer, * Technical Leadership Lead end-to-end engineering for the PISCES HUB initiative. * Provide architectural direction and hands-on leadership. * Mentor development teams and enforce engineering best practices. * Ensure scalability, configurability, and maintainability of rule-driven systems. * Collaborate with Product, Payment Integrity SMEs, and Enterprise Architecture teams. Configuration-Driven System Design * Design and build: + Metadata-driven pipelines and workflow orchestration engines. + Dynamic business rule engines for payment integrity use cases. + Configurable API/data integration frameworks. + Template-based or parameterized services. * Develop JSON/YAML/XML-based configuration interpreters. * Enable runtime rule updates without redeployment. * Design version-controlled rule lifecycle frameworks with auditability. Data & Rule Configuration Modeling * Design data models for: + Rule storage and versioning + Claims validation configurations + Payment integrity audit trails * Optimize SQL/NoSQL databases for high-volume rule evaluation. * Ensure rule governance, auditability, and compliance tracking. Healthcare & Payment Integrity Domain Expertise * Strong understanding of: + Healthcare payer systems + Claims adjudication workflows + Pre-pay and post-pay validation logic + Payment Integrity rule frameworks + Fraud, Waste & Abuse detection concepts * Experience integrating with core healthcare systems (e.g., Facets, QNXT, Amisys or similar). * Ability to translate payment integrity business requirements into scalable technical design. Cloud & Event-Driven Architecture * Design and implement event-driven systems using Kafka. * Build microservices deployed in AWS environments: + EKS, ECS, Lambda + S3, RDS, DynamoDB * Ensure high scalability and resilience for healthcare transaction workloads. DevOps & Platform Engineering * Implement CI/CD pipelines with automated testing. * Containerize services using Docker and Kubernetes. * Apply GitOps workflows for deployment automation. * Ensure observability, monitoring, and production readiness. ## Related Videos - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [CI/CD with Github Actions](https://www.wearedevelopers.com/videos/856-ci-cd-with-github-actions) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Detecting Money Laundering with AI](https://www.wearedevelopers.com/videos/111-detecting-money-laundering-with-ai) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [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)