AI/GIS Engineer

Position Summary

Alson Services is seeking an AI/GIS Engineer to design, develop, and deploy AI-powered agents and automation tools that transform fiber optic network design workflows. This role sits at the intersection of artificial intelligence, geospatial information systems (GIS), and telecommunications engineering. The ideal candidate will build intelligent systems capable of automating FTTH/FTTX design tasks—from high-level market area planning to low-level construction-ready design outputs—producing industry-standard SHP files and design packages.

You will work closely with our design engineering team and business development leadership to create AI agents that dramatically accelerate the fiber design lifecycle, improve accuracy, and scale our capacity to serve ISPs, utilities, and data center clients nationwide.

Core Responsibilities

AI Agent Development & Automation

• Design, build, and maintain AI agents capable of performing GIS-based fiber optic design tasks autonomously or semi-autonomously
• Develop machine learning models and rule-based systems for automated network routing, demand analysis, and construction cost estimation
• Integrate LLM-based workflows (e.g., Claude API, function calling, RAG pipelines) with GIS tools and fiber design software
• Build feedback loops and quality assurance mechanisms to validate AI-generated designs against engineering standards

GIS & Fiber Optic Design Automation

• Automate high-level design (HLD) workflows including market area identification, demand aggregation, and service area boundary generation
• Automate low-level design (LLD) workflows including strand mapping, splice schematics, drop cable routing, and BOM generation
• Build tools for automated pole assessment analysis, make-ready engineering review, and attachment cataloging
• Develop market area pinning automation for identifying optimal FTTH deployment zones based on density, ROI, and infrastructure data
• Generate and manage SHP file outputs compatible with industry-standard GIS platforms (ArcGIS, QGIS, AutoCAD Map 3D, etc.)
• Integrate with geospatial data sources including parcel data, road centerlines, utility pole databases, and aerial/satellite imagery

Data Engineering & Integration

• Build data pipelines for ingesting, cleaning, and transforming geospatial datasets from multiple sources (county GIS, USDA, FCC broadband data, etc.)
• Develop APIs and integration layers between AI agents and existing design tools, project management systems, and client platforms
• Implement version control and traceability for AI-generated design outputs

Collaboration & Continuous Improvement

• Collaborate with field engineers, designers, and project managers to translate manual design workflows into automated processes
• Stay current with advancements in AI/ML, GIS technology, and telecommunications design standards
• Document AI agent architectures, design logic, and operational procedures
• Present technical solutions to internal stakeholders and external clients

Required Qualifications

• Bachelor’s degree in Computer Science, GIS, Geospatial Engineering, Telecommunications, or a related field (or equivalent experience)
• 3+ years of experience with GIS platforms and geospatial data processing (ArcGIS, QGIS, PostGIS, GeoPandas, or equivalent)
• 2+ years of experience developing AI/ML solutions, including experience with LLMs, NLP, or computer vision
• Proficiency in Python with strong experience in geospatial libraries (Shapely, Fiona, Geopandas, GDAL/OGR, PyQGIS)
• Demonstrated ability to generate and manipulate SHP files, GeoJSON, KML/KMZ, and other geospatial formats programmatically
• Experience building AI agents, agentic workflows, or automation pipelines (e.g., using LangChain, Claude API, OpenAI function calling, or similar frameworks)
• Understanding of fiber optic network design principles (FTTH/FTTX architecture, PON/GPON, splitter placement, drop cable design)
• Experience with database systems (PostgreSQL/PostGIS, MongoDB, or similar) for geospatial data management
• Strong problem-solving skills with the ability to work independently and manage multiple concurrent projects

Preferred Qualifications

• Direct experience in telecom/ISP fiber design or OSP (outside plant) engineering
• Experience with pole loading analysis software (e.g., Katapult, O-Calc Pro, PoleForeman)
• Familiarity with NESC (National Electrical Safety Code) standards for pole attachments
• Experience with 3D modeling or point cloud processing for pole and infrastructure assessment
• Knowledge of FCC broadband funding programs (BEAD, RDOF, CAF) and associated mapping/reporting requirements
• Experience with cloud platforms (AWS, GCP, Azure) for deploying scalable geospatial and AI workloads
• Background in computer vision or image recognition for aerial/satellite imagery analysis
• Experience with Anthropic Claude, MCP (Model Context Protocol), or similar AI orchestration tools
• Familiarity with data center connectivity design and 400G fiber optic solutions

Technical Environment

Our team works with a modern stack that includes Python, JavaScript/Node.js, PostgreSQL/PostGIS, ArcGIS and QGIS, cloud-based AI services (Anthropic Claude API), and standard telecom design tools. The successful candidate will have the opportunity to define and shape the AI tooling architecture from the ground up.

Job Type: Full-time

Pay: $21.00 - $26.00 per hour

Expected hours: 40 per week

Work Location: In person