Daikinamericas.ai needs to maintain and enhance its enterprise AI framework built on Azure OpenAI and develop new AI-enabled applications to address business needs and approved initiatives.
Requirements
- Proficiency in Azure ecosystem: Azure OpenAI, Azure AI Search, Functions, Cognitive Services, and API integrations.
- Strong coding skills in Python and/or Java for AI application development.
- Experience with Large Language Models (LLMs), NLP, embeddings, and prompt engineering.
- Knowledge of MLOps practices, deployment pipelines, and monitoring AI applications.
- Familiarity with enterprise data governance, security, and compliance requirements.
- Hands-on experience building and deploying AI-powered applications (e.g., chatbots, search, recommendation, NLP).
- Prior experience with Azure AI services in enterprise environments is highly desirable.
Responsibilities
- Maintain and optimize Daikinamericas.ai platform, ensuring reliability, security, and performance.
- Design, develop, and deploy AI-enabled applications and other approved initiatives.
- Integrate Azure OpenAI, Azure AI Search, and related services into business workflows and applications.
- Monitor, evaluate, and continuously improve deployed applications for accuracy, adoption, and user experience.
- Support proofs-of-concept and pilot programs for new AI opportunities.
- Provide clear documentation and knowledge transfer to support adoption and scaling across departments.
- Translate business needs into technical specifications and actionable development plans.
Other
- Engage directly with business stakeholders to understand requirements, clarify use cases, and align AI solutions with business objectives.
- Collaborate with cross-functional teams (IT, product, business users) to deliver AI solutions that meet enterprise standards.
- Ensure adherence to AI governance, security, and responsible AI practices.
- Strong communication skills to interact with business stakeholders and translate non-technical requirements into AI solutions.
- Ability to balance technical depth with practical, business-oriented outcomes.
