Senior PIM & AI Solutions Engineer

Johnson Controls is seeking a highly skilled Senior PIM & AI Solutions Engineer to accelerate our enterprise product data platform with next‑generation AI capabilities. This role blends deep PIM engineering expertise with hands‑on AI solution development, leveraging Inriver Inspire AI, large language models (LLMs), AI agents, content generation/translation engines, and productivity automation frameworks. You will partner with product owners, architects, and Product Marketing to deliver intelligent, scalable solutions that improve product content quality, streamline enrichment workflows, automate data transformations, and enhance speed‑to‑market. This includes enabling Inspire AI features, building validation workflows, generating data‑loader templates from intake sheets, and evaluating new AI tools that drive operational efficiency across the product content lifecycle.

Build (PIM, AI, and Workflow Engineering) Enable, configure, and optimize Inriver Inspire AI features for content generation, localization, translation, and enrichment. Design and implement AI agent–driven workflows for content validation, attribute completeness checks, enrichment task routing, automated suggestions, and metadata generation. Build automations for intake‑to‑PIM transformations, including generating data loader sheets, mapping templates, cleansing rules, and exception handling. Design and evolve product data models (entities, attributes, CVLs, relationships), taxonomy/classification structures, validation rules, and versioning strategies. Engineer bulk data onboarding processes including imports, ETL transformations, AI‑assisted cleanup, and quality checks. Integrate PIM with AI services/agents, translation services, downstream systems, and internal applications via REST APIs, message/event‑based patterns, and workflow orchestration. Produce technical documentation including AI workflow designs, prompt & tool catalogs for agents, integration specs, data models, and operational runbooks. AI Enablement & Productivity Innovation Evaluate, prototype, and operationalize AI/ML tools and agent frameworks to improve productivity across Product Marketing and product content operations. Build internal AI utilities/agents for tasks such as content rewriting, translation, categorization, attribute derivation, and taxonomy recommendations. Establish best practices for prompt engineering, tool calling, retrievers, model selection, evaluation metrics (quality, latency, cost), and human‑in‑the‑loop (HITL) review. Ensure ethical, secure, and compliant use of AI within enterprise guidelines (governance, data privacy, PII/PI policy adherence). Platform & Engineering Excellence Apply OOP/SOLID principles and modern engineering practices to deliver maintainable and scalable PIM/AI solutions. Implement unit/integration tests and participate in CI/CD processes (Azure DevOps pipelines or equivalent). Drive data governance standards including completeness, consistency, accuracy, localization, lineage, and auditability. Promote best practices for agent safety/guardrails, evaluation harnesses, and continuous improvement in an Agile/Scrum environment.

Bachelor’s degree in computer science, Engineering, or related field, or equivalent experience. 6–8 years of engineering experience with C#/.NET, REST APIs, and MS SQL Server. 2+ years of hands‑on experience building AI-driven applications, including LLM workflows, RAG pipelines, prompt orchestration, or automated content-generation systems. Practical experience developing or integrating AI agents using frameworks such as Azure AI Orchestration, Semantic Kernel, Lang Chain, or equivalent tool‑calling architectures. Experience with Azure OpenAI or comparable LLM platforms (model configuration, prompt design, evaluation, cost optimization). Strong understanding of enterprise AI patterns: retrieval-augmented generation (RAG), embeddings,