About Irth Solutions
Irth Solutions is a market-leading SaaS company delivering cloud-based critical infrastructure management to energy, utility, and telecom operators across North America. Our Asset Integrity for Pipelines (AIP) platform transforms how pipeline operators manage integrity data — combining machine learning, GIS integration, and enterprise analytics to drive safer, smarter decision-making across the full pipeline lifecycle.
The Role
The Forward Deployed Engineer (FDE) is the technical bridge between the AIP platform and the pipeline operators who depend on it. You will operate at the intersection of deep oil & gas pipeline domain expertise, enterprise software implementation, and hands-on customer engagement. This is a domain-first role — pipeline knowledge is the primary differentiator, not software engineering background.
You will work on-site and remotely with operators, integrity engineers, GIS specialists, and data teams to onboard them onto the AIP/CIM platform — mapping data, configuring modules, validating integrity datasets, and ensuring the platform delivers real operational value from day one. Frequent travel to customer sites (30–50%) is required.
Key Responsibilities
Customer Engagement & Implementation
• Lead discovery sessions to understand customer integrity programs, data systems, and workflows — translating requirements into implementation plans
• Guide customers through migration and mapping of ILI datasets, PODS/APDM/UPDM GIS models, corrosion & CP databases, and field NDE records into AIP/CIM
• Validate and QA customer data loads: unit conversions, stationing alignment, anomaly classification mapping, and data integrity checks
• Configure AIP platform modules to reflect customer integrity management processes, regulatory requirements, and data governance standards
• Deliver on-site and remote training tailored to integrity engineers, GIS analysts, and operations teams
Technical Implementation
• Write and validate SQL scripts, data transformation queries, and ETL routines to load and reconcile pipeline integrity datasets
• Support API and GIS integrations between AIP and customer systems — Esri ArcGIS, PODS databases, SCADA feeds, ILI vendor platforms
• Build reusable implementation playbooks, data mapping templates, and configuration guides
• Troubleshoot data quality and integration issues; escalate product gaps to the AIP engineering team as the voice of the operator
Requirements
Pipeline Domain Knowledge (Primary Requirement)
• ILI Data: Hands-on experience with ILI data from vendors such as ROSEN, Baker Hughes, Applus+, or NDT Global; working knowledge of MFL, UT, EMAT, and IMU technologies; familiarity with anomaly classification, B31G/RSTRENG fitness-for-service methods, and corrosion growth modeling
• Pipeline GIS & Data: Proficiency with PODS data models (5.x/6.x/7.x); experience with Esri ArcGIS, APDM, and UPDM; ability to map customer GIS schemas and work with linear referencing and stationing frameworks
• Corrosion & CP: Working knowledge of cathodic protection data (CIS, DCVG/ACVG surveys, test points); familiarity with ECDA/ICDA processes and field NDE data types
• Regulatory: Solid understanding of 49 CFR Parts 192 & 195, ASME B31.8S, API 1160, and the PHMSA Mega Rule; ability to map compliance requirements to platform configuration
Technical & Professional Skills
• 5+ years in a technical pipeline role — integrity engineer, pipeline data analyst, GIS specialist, or integrity management consultant
• SQL proficiency: able to write, read, and debug queries against pipeline integrity databases (SQL Server / Azure SQL preferred)
• Experience with data migration or ETL projects involving ILI, GIS, or PODS datasets
• Strong communication skills — able to present to both engineering teams and executive stakeholders; self-directed in a remote-first environment
Nice-to-Have
• Direct operator or midstream experience as a pipeline integrity or corrosion engineer
• Python scripting for data processing or ETL; Databricks or Azure Data Factory exposure
• Familiarity with Irth AIP/CIM, or AI/ML applications in pipeline integrity (anomaly prediction, risk scoring)
