Senior PIM & AI Solutions Engineer
Sensormatic Electronics — Bangalore-Karnataka-India
: 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 opera
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