AI Engineer/Data Scientist with (GitHub Copilot or Cursor)

Title : AI Engineer/Data Scientist with (GitHub Copilot or Cursor)

Location :Remote

Job Type : C2C or W2

Preference to evaluate additional candidates with stronger hands-on experience in the following areas:

• Autonomous agents
• Tool-calling workflows
• Multi-agent architectures and patterns
• Local or private AI deployments
• Advanced reasoning and orchestration beyond prompt engineering
• solid understanding of selecting and applying different AI models based on specific use cases, including (but not limited to):
  Qwen 3.6, GLI, Gemma 4, Qwen Next Coder, GPT-OSS, Llama 4, Claude Code, Gemini CLI, ClawBot, Sonnet 4.6/4.7, Codex 5.4, Gemini Pro, etc.
• Payment Integrity, Kafka is still mandatory.

Key search:

Python, Oracle, Kafka, and Windsurf along with Payment Integrity platforms.

Experience Level:

8+ Years

Role Overview

• We are seeking a highly skilled Lead Engineer to lead the architecture, design, and development of the PISCES HUB platform, a configuration-driven, event-based data and rule-processing ecosystem supporting healthcare payer workflows.
• This role requires strong expertise in building metadata-driven systems, rule engines, and configurable integration frameworks within a cloud-native architecture.
• The ideal candidate will also possess solid knowledge of healthcare systems, particularly Payment Integrity and claims processing workflows, and be capable of designing systems that support fraud detection, pre-pay/post-pay validation, and rule-based adjudication enhancements.

Key Responsibilities

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.

Required Skills & Experience:

• 8+ 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.