AI Solutions Engineer / AI Applications Developer

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., * 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

• 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, * 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