Description

Responsibilities

• Partner with business teams to understand processes, gather requirements, and identify opportunities to reduce manual effort with AI and automation.
• Translate business needs into practical technical solutions using enterprise AI platform capabilities.
• Develop value assessments that estimate the potential return and effort savings of proposed use cases.
• Guide teams on generative AI approaches and help them adopt available platform capabilities.
• Build functional proofs of concept in a sandbox environment using tools and patterns such as AWS OpenSearch, retrieval-augmented generation (RAG), and large language model orchestration.
• Test business data to assess whether it can support a proposed AI application.
• Maintain a development environment connected to platform APIs and services as new features are released.
• Create reusable code samples and templates to help other developers build on the platform.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
• Experience developing with Python or JavaScript and working with RESTful APIs.
• Familiarity with cloud-based data services such as AWS OpenSearch and Amazon S3.
• Understanding of generative AI concepts, including language models, prompt engineering, and RAG.
• Ability to break down complex business workflows into clear opportunities for automation.
• Strong communication skills and the ability to explain technical concepts to nontechnical stakeholders

Key Skills

Education

Bachelor's degree