Chief Technology Officer AI

OpenKyber LLC

United States

3 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Working hours

Regular working hours

Job source

indeed.com

Tech stack

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

+24 more

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

Job 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.

Requirements

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.