AI Solution Analyst/Developer

Description

• Develop, test, and deploy generative AI solutions across text, image, audio, and video modalities, including agentic workflows that plan and execute multi-step tasks.
• Build and integrate retrieval-augmented generation (RAG) pipelines using modern vector databases, knowledge graphs, and orchestration frameworks such as LangChain / LangGraph, Neo4J, MongoDB.
• Experiment with and evaluate frontier LLMs—including Anthropic Claude, OpenAI GPT, Google Gemini, and Mistral—through enterprise platforms like Azure AI Foundry.
• Collaborate with AI developers, data engineers, and business stakeholders to translate requirements into production-ready solutions integrated with HNI systems.
• Contribute to responsible AI practices aligned with the NIST AI Risk Management Framework, including prompt safety, PII handling, bias testing, and human-in-the-loop review.
• Use AI-assisted developer tooling (e.g., Claude Code, GitHub Copilot, Cursor) to accelerate delivery, and the Model Context Protocol (MCP) to connect agents to enterprise data and tools.
• Document and present results, trade-offs, and business insights from generative AI projects to technical and executive audiences.
• Manage your own project workload, including sequencing, progress tracking, and clear status communication to non‑technical stakeholders.
• Communicate tradeoffs, limitations, and solution options in plain language to help the business make informed decisions.
• Develop working knowledge of the hearth industry and HHT’s business so technical decisions reflect real‑world constraints and opportunities.
• Stay current on applied AI development approaches and bring relevant ideas to the Innovation team  

• Bachelor's degree (or equivalent) in computer science, software engineering, data science, mathematics, or a related field.
• Experience, coursework, or demonstrated interest in generative AI models and platforms such as Anthropic Claude, OpenAI GPT, Google Gemini, Meta Llama, Mistral, Hugging Face, and image/video/audio models (DALL·E, Stable Diffusion, Imagen, Veo, ElevenLabs). 
• Proficiency in Python, with familiarity in at least one additional language (e.g., TypeScript/JavaScript, Java, C#, SQL).
• Working understanding of machine learning, deep learning, and generative AI concepts—especially LLMs, embeddings, RAG, tool-use / agents, fine-tuning vs. prompting, and evaluation methods for non-deterministic systems.
• Exposure to cloud AI services on Azure, AWS, or Google Cloud, and interest in enterprise platforms such as Azure AI Foundry, AWS Bedrock, Vertex AI, Databricks, or NVIDIA NIM.
• Familiarity with version control (Git), APIs, and modern software engineering practices; exposure to containers (Docker), CI/CD, or MLOps tooling is a plus.
• Awareness of responsible AI topics—data privacy, security, bias, hallucination mitigation, and governance frameworks such as the NIST AI RMF.
• Ability to work both independently and collaboratively in a cross-functional team environment.
• Excellent written and verbal communication skills, with the ability to translate technical concepts for business audiences, plus strong analytical and problem-solving skills.

In addition to your salary, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision Insurance, Health Savings Account, Disability Benefits, Life Insurance, Paid Time Off and Holidays, and Retirement Benefits). Hearth & Home Technologies benefits are subject to eligibility requirements. Our company endeavors to make www.hearthnhome.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at 952-985-6000 or via email at [email protected]. The Company is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law.