Audit & Traceability Engineer – AI/Agentic Automation

Audit & Traceability Engineer – AI/Agentic Automation

Experience

6–9 years

Domain

Healthcare / Medicaid

Project

R2R Agentic Automation

Rate -75/hr

Remote / WFO / Hybrid

Remote

Hire Type (FTE/Contract)

Contract

Project Duration

5 months – most likely to extend till 12 months

Expected Start Date

11/02/2026

Role Summary

We are looking for a hands-on Audit & Traceability Engineer to design and implement end-to-end auditability, data lineage, observability, and evidence management for AI/agentic workflows supporting Medicaid Record-to-Report (R2R) processes. The role will ensure that data, calculations, agent decisions, tool/API calls, exceptions, and human approvals are traceable, reproducible, explainable, and audit-ready.

Key Responsibilities

• Implement end-to-end data lineage and decision provenance from source systems through agent workflows and human approvals.
• Build structured audit logging, telemetry, tracing, and monitoring for AI agents and APIs.
• Capture agent execution details including prompt/model versions, tool calls, inputs/outputs, errors, retries, and workflow states.
• Enable historical replay and reproducibility through versioned data, rules, prompts, models, and configurations.
• Implement traceability for exceptions, reconciliations, approvals, overrides, and control evidence.
• Develop automated tests for lineage completeness, reconciliation, regression, security controls, and failure recovery.
• Ensure audit traces comply with HIPAA, PHI/PII protection, RBAC, least privilege, and data-retention requirements.
• Collaborate with AI, data, Medicaid, finance, security, QA, and Controller teams.

Required Technical Skills

• Strong Python and SQL
• Data lineage, metadata, and provenance
• Audit logging and distributed tracing
• AI/LLM and agentic workflow traceability
• REST APIs and integration
• Workflow orchestration and state management
• Observability, telemetry, and monitoring
• Automated testing and reconciliation
• IAM/RBAC, encryption, secrets management, and secure logging
• Understanding of LLMs, prompts, tool/function calling, human-in-the-loop, and AI guardrails

Preferred Technology Experience

• Azure
• Databricks / Delta Lake
• Unity Catalog
• MLflow tracing and evaluation
• Azure OpenAI
• LangChain / LangGraph or equivalent agent frameworks
• MCP or similar agent-to-tool integration patterns

Healthcare / Medicaid Knowledge

Working knowledge of

• Medicaid enrollment and eligibility
• Capitation and reconciliation
• Claims and encounters
• 834, 820, 837, and 835 healthcare transactions
• HIPAA and PHI/PII controls
• Healthcare financial/R2R processes

Ideal Candidate

A strong software/data/AI engineer with auditability and observability experience, capable of making every material AI-assisted R2R outcome traceable from source data through calculation, agent execution, exception handling, and human approval.

For all Domain

Healthcare / Medicaid position submission format.

Submission Matrix

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Particulars

Details

Candidate Full Name as per Passport / Visa copy

PTalent Applicant ID

Indent ID

Current Location, State.

Contact Number

Email ID

Skype-ID

LinkedIn Profile

Link

First entry to USA (Year) and Visa status during entry (mandatory)(Exempt for USC/ GC

US work authorization (with validity and extensions)

H1B Petition Start date

H1B Petition end date

H1B Visa stamp till

Willingness to relocate

Educational qualification (along with Year of passing and university details)

Video / In-person interview availability (Yes/No)

Currently on Project (Yes/No)

Any Certification

Interviewed with Persistent in past 3 months.

(If yes, please provide details)

Rate / Salary

Joining Time/Availability to join