About the Role We are seeking a hands-onAI Engineerto join our Transformation & AI team. This role is ideal for someone passionate about working withLarge Language Models (LLMs)and deploying real-world AI applications at scale. You will be responsible for designing, building, and deploying AI-powered applications usingMicrosoft Azure cloud services , with a focus onApp Services, AI Apps, and Azure AI Foundry . The ideal candidate should be comfortable coding in Python, developing UI web applications, and working with bothRDBMS and NoSQL databases . This is asenior engineering role , requiring not only technical depth but also the ability to influence, collaborate, guide other engineers and stakeholders and help shape the future of AI at Accruent.Must-Have Skills Provenhands-on experience with LLMs(Azure OpenAI, HuggingFace, RAG pipelines, etc.). Strong experience withAzure Cloud– building and deployingApp ServicesandAI Apps . Experience working withAzure AI Foundryand integrating AI models. Proficiency in Pythonfor AI/ML development and automation. Experience inUI/web app development(HTML, JavaScript/TypeScript, React/Angular). Experienceintegrating LLMs into business process workflowsand chat-based UI (Teams, Power Apps, etc.). Strong knowledge ofdatabases– bothRDBMS (SQL, PostgreSQL, MySQL) and NoSQL (CosmosDB, MongoDB) .Key Responsibilities Design, develop, and deploy AI applications leveragingLLMsandAzure AI services(Azure OpenAI, Cognitive Services, Azure Machine Learning, Azure AI Foundry). Build and deploy scalableApp Services and AI Appson the Azure Cloud. 100% hand-on development ofPython-based solutionsandUI web applications for AI functions . Work with structured and unstructured data, leveraging bothRDBMS and NoSQL databases including Snowflake . Rapidly build, test, and iterate on proof-of-concepts (PoCs) for real-world business challenges. Mentor other IT staff and provide technical leadership across the IT organization. Collaborate closely with business stakeholders and cross-functional teams to productionize AI applications. Stay current with emergingLLM frameworks(LangChain, CrewAI, n8n, etc.) and integrate them into enterprise workflows.Desired Soft Skills Strategic Thinking– ability to translate business problems into technical AI solutions. Collaboration & Influence– skilled at working with stakeholders across business and technology teams. Communication Excellence– can clearly explain complex AI/ML concepts to non-technical audiences. Leadership & Mentorship– capable of guiding other engineers, fostering best practices, and raising overall team capability. Adaptability– thrives in fast-paced, ambiguous environments with shifting priorities. Problem-Solving Mindset– approaches challenges with creativity, pragmatism, and a solution-oriented attitude. Qualifications Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field. Software engineering experience, with work background focused on AI/ML. Solid understanding of software engineering practices, CI/CD pipelines, and DevOps in Azure. Preferred Skills Azure certification (AI Engineer Associate, Solutions Architect, or Developer). Experience withLLM orchestration frameworks(LangChain, CrewAI, n8n, etc.). Familiarity withvector databases(e.g., Pinecone, Qdrant, Azure Cognitive Search). Knowledge of RPA tools (Power Automate, UI Path) and integration with enterprise systems. Exposure to building chat-based AI applications integrated with Microsoft Teams, Power Apps, or web portals. Priorexperience in Salesforce & Snowflake integrationis a strong plus.
Job Title
Generative AI Engineer