An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
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
