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Geo Engineer Jobs in Florida (NOW HIRING)

Keller North America, Inc.

Design Engineer

Miami, FL

We are currently seeking a Geo-Structural Design Engineer to join our Miami, FL office. Keller is a leading geotechnical specialty design-build contractor with offices throughout the United States ...

Keller North America, Inc.

Design Engineer

Miami, FL · On-site

We are currently seeking a Geo-Structural Design Engineer to join our Miami, FL office. Overview Keller is a leading geotechnical specialty design-build contractor with offices throughout the United ...

Keller North America, Inc.

Design Engineer

Miami, FL · On-site

We are currently seeking a Geo-Structural Design Engineer to join our Miami, FL office. Overview Keller is a leading geotechnical specialty design-build contractor with offices throughout the United ...

Keller North America, Inc.

Design Engineer

Miami, FL · On-site

We are currently seeking a Geo-Structural Design Engineer to join our Miami, FL office. Overview Keller is a leading geotechnical specialty design-build contractor with offices throughout the United ...

The GEO Group

COUNSELOR

Indiantown, FL · On-site

$27.24/hr

Who We Are: GEO provides complementary, turnkey solutions for numerous government partners ... programming services for a caseload of participants. Accordingly, it assesses and identifies ...

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All JobsGeo Engineer JobsGeo Engineer Jobs in Florida

Geo Engineer information

See Florida salary details

$29.1K

$76K

$102.8K

How much do geo engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for geo engineer in Florida is $76,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $87,100.00 per year, depending on experience, location, and employer.

Are geological engineers in demand?

Geological engineers are in steady demand due to their expertise in assessing and managing earth materials for construction, environmental protection, and resource extraction projects. Employment opportunities are expected to grow as infrastructure development and environmental concerns increase, with skills in geotechnical analysis and site investigation being highly valued.

What does a geo engineer do?

A geo engineer studies and analyzes the Earth's physical properties, including soil, rock, and groundwater, to support construction, environmental projects, and hazard assessments. They often use tools like geological surveys, modeling software, and field investigations, and may require certifications such as a Professional Geologist license. Their work typically involves site evaluations, risk analysis, and designing solutions for infrastructure stability and environmental safety.

What are popular job titles related to Geo Engineer jobs in Florida?

For Geo Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Geo Engineer jobs in Florida look for?

The top searched job categories for Geo Engineer jobs in Florida are:

Geo Engineer jobs near you
Infographic showing various Geo Engineer job openings in Florida as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $76,039 per year, or $36.6 per hour.

AI & GEO Solutions Engineer

SNI Technology

Winter Garden, FL • On-site

$130K - $140K/yr

Other

Re-posted 8 days ago

Job description

AI Solutions Engineer / AI Applications Developer
Location: Onsite in Orlando
Pay Range: $130,000-$140,000
Please Note: NO C2C, Agency referrals or sponsorship available
Position Overview:
This role is responsible for designing, developing, and supporting AI-enabled capabilities across web platforms, e-commerce systems, and enterprise applications. The position partners closely with cross-functional teams to enhance AI-driven discoverability, user engagement, and business workflows while ensuring responsible and scalable AI implementation.
Key Responsibilities
  • Analyze, design, develop, test, deploy, and document AI-powered enhancements across websites, e-commerce platforms, intranet applications, APIs, and enterprise systems
  • Support Generative Engine Optimization (GEO) initiatives to improve AI model discoverability, AI-generated brand visibility, and semantic search performance
  • Collaborate with Web, Marketing, Product, Content, SEO/GEO, and Technology teams to optimize structured content, metadata, schema markup, and AI-readable content frameworks
  • Evaluate, configure, integrate, and maintain third-party AI platforms, LLM-based systems, APIs, chatbot tools, knowledge bases, vector search solutions, and workflow automation technologies
  • Design and support AI-driven engagement solutions such as intelligent search, AI assistants, recommendation engines, conversational interfaces, and knowledge retrieval systems
  • Implement and support structured data frameworks including schema standards, embeddings, retrieval-augmented generation (RAG), vector databases, and semantic search architectures
  • Translate business objectives into technical requirements, implementation plans, testing strategies, documentation, and development-ready tasks
  • Act as a liaison between business stakeholders and technical teams for AI initiatives, including requirements gathering, workflow design, testing coordination, and deployment
  • Monitor competitive AI presence, AI-search trends, and evolving AI discovery and commerce strategies
  • Assess AI tools for privacy, security, performance, hallucination risks, data governance, and operational considerations prior to implementation
  • Support enterprise AI governance initiatives, including data stewardship, approval workflows, and responsible AI standards
  • Research emerging AI technologies, platforms, and industry trends relevant to digital commerce, customer engagement, and enterprise operations
  • Drive measurable improvements in AI visibility, semantic discoverability, workflow automation, and AI-assisted user experience

Required Skills & Competencies
  • Strong analytical, problem-solving, and organizational skills
  • Excellent communication skills with the ability to translate technical concepts into business language
  • Ability to work both independently and collaboratively in cross-functional environments
  • Strong project management and prioritization capabilities in fast-paced settings

AI & Technical Knowledge
  • Solid understanding of:
  • Large Language Models (LLMs)
  • Prompt engineering
  • Retrieval-Augmented Generation (RAG)
  • Embeddings and vector search
  • Semantic search and AI orchestration workflows
  • AI testing and evaluation frameworks
  • Knowledge of:
  • Generative Engine Optimization (GEO) and technical SEO
  • Semantic web architecture and structured content optimization
  • AI governance, privacy, security, bias mitigation, and responsible AI practices

Technology Familiarity
Experience with or exposure to tools and platforms such as:
  • OpenAI, Anthropic, Google Gemini
  • AWS Bedrock, Azure AI, Vertex AI
  • LangChain, LlamaIndex
  • Vector databases (e.g., Pinecone, Weaviate)

Nice to have: Experience with enterprise ERP or commerce platforms and integrations
Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence, or a related field
  • 5+ years of experience developing or supporting enterprise web applications, APIs, or business systems
  • 2+ years of hands-on experience working with AI tools, LLM systems, AI APIs, or automation platforms
  • 5+ years of experience integrating third-party systems using REST APIs, SDKs, and modern integration frameworks
  • Experience with modern web technologies such as JavaScript, TypeScript, HTML/CSS, front-end frameworks, and back-end development (e.g., Java, C#, .NET, Node.js)
  • Experience with relational databases, SQL, and enterprise data models

Preferred Experience
  • Hands-on experience with:
  • AI integrations and workflows
  • Semantic search and vector databases
  • Chatbots and conversational AI
  • Knowledge retrieval systems and AI orchestration pipelines
  • Familiarity with:
  • Structured data and schema markup
  • AI indexing, semantic architecture, and SEO/GEO concepts
  • Cloud deployment, monitoring, and enterprise application support tools (e.g., Git, Jira, Postman)

Additional Requirements
  • Proven ability to gather requirements, identify gaps, and translate business needs into actionable plans
  • Strong collaboration skills across technical teams, business stakeholders, and external partners
  • Awareness of AI privacy, compliance, security, and risk management considerations
  • Ability to stay current with rapidly evolving AI technologies and industry trends
  • Comfortable working in dynamic environments with shifting priorities and emerging technologies
#SNIT

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