GIS Solution Lead

Ventures Unlimited
Alameda, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Alameda, United States of America

Tech stack

Geographic Information Systems
Artificial Intelligence
Amazon Web Services (AWS)
ArcGIS (Software)
Computer Vision
Azure
Cloud Computing
Cluster Analysis
Spatial Databases
Python
PostgreSQL
Machine Learning
Network Model
TensorFlow
Azure
Cloud Platform System
PyTorch
Deep Learning
AI Platforms
Scikit Learn
Information Technology
Data Analytics
Data Management
Api Management
Microservices

Job description

Pre-Sales & Solutioning

  • Partner with client business teams to understand customer requirements and craft tailored GIS + AI solutions.
  • Lead technical discovery sessions, workshops, and solution design discussions.
  • Develop solution architectures integrating GIS, AI/ML and cloud technologies.
  • Lead and delivery compelling product demonstrations, POCs (proof of concepts) and prototypes
  • Create technical proposals, RFP/RFI responses, and effort estimates.

AI & Advanced Analytics Integration

  • Design and position AI-driven geospatial solutions such as:

o Predictive spatial analytics

o Computer vision for satellite / drone imagery

o NLP for location-based insights

  • Integrate GIS platforms with AI frameworks
  • Recommend scalable architectures leveraging cloud AI services

Customer Engagement

  • Act as a trusted advisor to customers, influencing technology decisions
  • Communicate solution value to both technical and business stakeholders
  • Translate business challenges into data-driven geospatial use cases

Technical Enablement

  • Stage current with GIS trends, AI advancements, and industry use cases
  • Support internal teams with training, knowledge sharing, and best practices
  • Collaborate with product and engineering teams to refine offerings

Requirements

  • Bachelor's or master's degree in

o Geospatial Sciences / GIS

o Computer Science / Engineering

o Data Science or related field

  • Experience

o 15 - 20 years of experience in GIS consulting, solution architecture, or pre-sales engineering

o Proven experience building or supporting AI/ML solutions in enterprise environments.

Required Technical Skills

GIS & Spatial Technologies

  • Strong expertise in GIS platforms such as:

o ESRI ArcGIS (Enterprise, Online)

o Utility Network Model

o FME workbench

o Utility domain experience (Electric and Gas)

  • Experience with spatial databases (PostgreS)
  • Understanding of geospatial data processing and analysis

AI / Machine Learning

  • Working knowledge of:

o Machine learning models (regression, clustering, classification)

o Deep learning for imagery analysis

  • Familiarity with frameworks / tools such as :

o Python, TensorFlow, PyTorch, Scikit-learn

  • Experience with AI solution architecture and deployment

Cloud & Data Platforms

  • Experience with cloud ecosystems (preferred: AWS and Azure):

o AI/ML services

o Data platforms

  • API integrations and microservices-based architectures

Core Competencies

  • Strong client-facing and presentation skills
  • Excellent problem-solving and analytical mindset
  • Ability to explain complex technical concepts in simple business terms
  • Strong collaboration across sales, technical, and product teams
  • Strategic thinking with a focus on value-driven solutioning

Roles & Responsibilities

We are seeking a highly skilled GIS Solution Lead with strong expertise in Artificial Intelligence (AI) and AI-driven solutioning to support our sales and solution engineering teams. This role bridges business needs, geospatial technologies, and AI innovation, helping customers design and adopt advance spatial intelligence solutions.

The ideal candidate combines technical depth in GIS platforms with hands-on experience in AI/ML technologies and excels in translating complex solutions into bus iness value during the pre-sales lifecycle.

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