Lead GIS & AI Solutions Architect

Qualifications

• 15–20 years of experience in GIS consulting, solution architecture, or pre‑sales engineering
• Proven experience building or supporting AI/ML solutions in enterprise environments
• 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

• GIS & Spatial Technologies
  • GIS platforms: ESRI ArcGIS (Enterprise, Online), Utility Network Model, Utility domain experience (Electric and Gas)
  • Spatial databases:
    PostgreSQL
  • Geospatial data processing and analysis
• Machine learning and deep learning
  • ML models: regression, clustering, classification
  • Deep learning for imagery analysis
  • Frameworks and tools:
    Python, Tensor Flow, PyTorch, Scikit‑learn
• AI solution architecture and deployment
• Cloud ecosystems (preferred: AWS and Azure)
  • AI/ML services
  • API integrations and microservices‑based architectures

• Partner with client business teams to understand 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 deliver compelling product demonstrations, POCs, and prototypes
• Create technical proposals, RFP/RFI responses, and effort estimates

• Design and position AI‑driven geospatial solutions such as predictive spatial analytics and NLP for location‑based insights
• Integrate GIS platforms with AI frameworks
• Recommend scalable architectures leveraging cloud AI services
• 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

• Stay 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

Salary Range: $160,000 – $180,000 per year

Benefits include:

• Discretionary annual incentive
• Comprehensive medical coverage: medical & health, dental & vision, disability planning & insurance, pet insurance plans
• Family support: maternal & parental leaves
• Insurance options: auto & home insurance, identity theft protection
• Convenience & professional growth: commuter benefits, certification & training reimbursement
• Time off: vacation, personal time off, sick leave & holidays
• Legal & financial assistance: legal assistance, 401(k) plan, performance bonus, college fund, student loan refinancing

Oakland, CA

Technology

Lead