The AI Developer will play a key role in maintaining and enhancing Daikinamericas.ai, the enterprise AI framework built on Azure OpenAI, and in developing new AI-enabled applications and other initiatives approved by the AI Governance Council. The role requires not only strong technical expertise but also the ability to engage directly with business stakeholders, understand their needs, and translate them into scalable, secure, and impactful AI solutions.
Position Responsibilities May Include:- Maintain and optimize Daikinamericas.ai platform, ensuring reliability, security, and performance.
- Design, develop, and deploy AI-enabled applications and other approved initiatives.
- Engage directly with business stakeholders to understand requirements, clarify use cases, and align AI solutions with business objectives.
- Translate business needs into technical specifications and actionable development plans.
- Collaborate with cross-functional teams (IT, product, business users) to deliver AI solutions that meet enterprise standards.
- Integrate Azure OpenAI, Azure AI Search, and related services into business workflows and applications.
- Ensure adherence to AI governance, security, and responsible AI practices.
- Monitor, evaluate, and continuously improve deployed applications for accuracy, adoption, and user experience.
- Provide clear documentation and knowledge transfer to support adoption and scaling across departments.
- Support proofs-of-concept and pilot programs for new AI opportunities.
- Perform other tasks as assigned
Nature & Scope:- Applies practical knowledge of job area typically obtained through advanced education and work experience
- Encouraged to seek continuous improvements
- Performs a range of mainly straightforward assignments
- Works independently with general supervision
- Problems faced are difficult but not typically complex
Knowledge & Skills:- 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.
- 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.
Competencies:- Operational Understanding - Understands business challenges and aligns AI applications with measurable outcomes.
- Collaboration - Works seamlessly across IT, business units, and governance teams
- Communication - Able to explain technical concepts to non-technical audiences and vice versa.
- Execution & Ownership - Takes initiative to move projects from concept to production.
- Innovation - Applies AI creatively to solve business problems.
- Adaptability - Comfortable navigating evolving AI technologies and business priorities.
Experience:- 3-5 years of experience in AI/ML, software development, or data science.
- Hands-on experience building and deploying AI-powered applications (e.g., chatbots, search, recommendation, NLP).
- Proven experience engaging with business users to define requirements and deliver tailored solutions.
- Prior experience with Azure AI services in enterprise environments is highly desirable.
Education/Certification:- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
Preferred certifications:- Additional AI/ML or data-focused certifications considered a plus.
Qualified Applicants must be legally authorized for employment in the United States. Qualified applicants will not require employer sponsored work authorization now or in the future for employment in the United States.
