AI & GEO Solutions Engineer

Winter Garden, FL, US • Posted 1 day ago • Updated 11 hours ago
Full Time
On-site
USD $130,000.00 - 140,000.00 per year
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Electronic Commerce
  • Intranet
  • Brand
  • Online Marketing
  • Meta-data Management
  • Interfaces
  • Documentation
  • Requirements Elicitation
  • Data Governance
  • Data Stewardship
  • Research
  • Customer Engagement
  • User Experience
  • Analytical Skill
  • Problem Solving
  • Conflict Resolution
  • Organizational Skills
  • Communication
  • Project Management
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Testing
  • Evaluation
  • Semantic Web
  • Optimization
  • Amazon Web Services
  • Microsoft Azure
  • Vertex
  • LangChain
  • LlamaIndex
  • Enterprise Resource Planning
  • Computer Science
  • Information Technology
  • Software Engineering
  • Web Applications
  • Business Systems
  • JavaScript
  • TypeScript
  • HTML
  • Cascading Style Sheets
  • Backend Development
  • Java
  • C#
  • .NET
  • Node.js
  • Relational Databases
  • SQL
  • Workflow
  • Semantic Search
  • Vector Databases
  • Orchestration
  • Semantics
  • SEO
  • Cloud Computing
  • Enterprise Software
  • Git
  • JIRA
  • POSTMAN
  • Collaboration
  • Privacy
  • Regulatory Compliance
  • Risk Management
  • Artificial Intelligence
  • Emerging Technologies

Summary

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: snibot
  • Position Id: 392568
  • Posted 1 day ago
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