🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Overview: Johnson Controls is seeking a highly skilled Senior PIM & AI Solutions Engineer to accelerate our enterprise product data platform with nextgeneration AI capabilities. This role blends deep PIM engineering expertise with handson 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 speedtomarket. This includes enabling Inspire AI features, building validation workflows, generating dataloader templates from intake sheets, and evaluating new AI tools that drive operational efficiency across the product content lifecycle. Responsibilities 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 agentdriven workflows for content validation, attribute completeness checks, enrichment task routing, automated suggestions, and metadata generation. Build automations for intaketoPIM 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, AIassisted cleanup, and quality checks. Integrate PIM with AI services/agents, translation services, downstream systems, and internal applications via REST APIs, message/eventbased 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 humanintheloop (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. Required Qualifications Bachelors degree in computer science, Engineering, or related field, or equivalent experience. 68 years of engineering experience with C#/.NET, REST APIs, and MS SQL Server. 2+ years of handson 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 toolcalling 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, translation/normalization pipelines, content quality evaluation, and humanintheloop (HITL) review loops. Handson experience implementing automated workflows, data transformations, and bulk import processes. Knowledge of PIM concepts, including data modeling, enrichment workflows, validation, localization, and taxonomy. Strong debugging and optimization skills for both PIM workflows and AI-driven automations. Excellent communication skills and ability to work across engineering, Product Marketing, and data governance teams. Preferred Qualifications Inriver PIM experience (strongly preferred): advanced configuration of entities/links/CVLs, Inspire AI tuning, workflow customization, extensibility, connectors, and operational monitoring. Experience designing enterprise-grade AI solutions beyond basic prompting, such as multi-agent coordination, planning capabilities, or workflow orchestration frameworks. Hands-on experience with RAG optimization (embeddings tuning, vector index .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.