What are the responsibilities and job description for the AI Engineer / Application Analyst position at ChatGPT Jobs?
Job Description
AI Engineer or Analyst
Locations: Atlanta, GA or Birmingham, AL (On-site Monday-Thursday, Remote on Friday)
Machine Learning & Artificial Intelligence
About The Role
Design, develop, and implement automation solutions to enhance efficiency of processes for Southern Power. Focus on streamlining and automating processes through AI, GenAI, data analytics, and automation. Develop agents, apps, and data visualizations with tools like Databricks and Azure AI.
Requirements
Engineering & Technology
AI Engineer or Analyst
Locations: Atlanta, GA or Birmingham, AL (On-site Monday-Thursday, Remote on Friday)
Machine Learning & Artificial Intelligence
About The Role
Design, develop, and implement automation solutions to enhance efficiency of processes for Southern Power. Focus on streamlining and automating processes through AI, GenAI, data analytics, and automation. Develop agents, apps, and data visualizations with tools like Databricks and Azure AI.
Requirements
- Bachelor’s degree (preferably Computer Science, Information Systems, Engineering, Business, or related field)
- Relevant work experience in AI, data analytics, and/or digital transformation with at least 6 months of substantial AI coding assistant use
- Proficiency in Python and AI frameworks for LLMs and agents
- Experience with prompt engineering, evaluation techniques, and structured outputs
- Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) patterns
- Working knowledge of API integration and tool execution within agent workflows
- Exposure to CI/CD, model deployment, and observability concepts
- Experience with GitHub for source control, collaboration, and code review
- Proven experience with SQL, Python, Databricks, AI, GenAI, and Azure
- Strong analytical and data-driven decision-making skills
- Excellent communication skills to explain AI concepts to non-technical stakeholders
- Ability to collaborate with stakeholders and advocate for unified solutions
- Teamwork and independent work capability
- Time management and ability to handle multiple priorities
- Effective communication of progress and best practices
- Identify opportunities and develop AI solutions to improve business processes
- Build and configure agents using Databricks Apps, Agents, Power BI, GenAI, and AI
- Rapidly prototype AI capabilities and promote to enterprise-grade deployments
- Implement end-to-end use-case workflows
- Optimize AI performance and cost through tuning
- Manage GitHub repositories and development practices
- Collaborate with business teams to integrate digital tools
- Provide technical guidance and training on digital tools
- Analyze large datasets for anomalies and trends
- Stay current with AI governance and risk management
- Apply responsible AI guardrails
Engineering & Technology