AI Engineer - Remote
- Hiring from
- United States
- Work type
- Hybrid
- Posted
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About the Role
Southern Power is seeking an AI Engineer to design, develop, and improve artificial intelligence solutions that deliver measurable business and operational value across the organization.
The role focuses on building production-ready AI agents, models, and workflows that meet enterprise architecture, governance, and operational standards. You will translate business and operational requirements into scalable, reliable, and secure AI solutions suitable for a critical-infrastructure environment.
Key Responsibilities
- Develop and configure AI agents that reason, plan, and take action using models, tools, and enterprise data in accordance with approved patterns.
- Translate business and operational requirements into end-to-end AI workflows covering data ingestion, inference, tool execution, and human-in-the-loop review.
- Integrate safety controls, validation steps, and explainability mechanisms into agent logic and prompts.
- Collaborate with architects on design decisions throughout the AI delivery lifecycle.
- Partner with ML Ops teams to support deployment, monitoring, and ongoing improvements.
- Optimize prompts, models, and agent interactions to improve accuracy, latency, and cost efficiency.
- Prototype new AI capabilities while following standards that support their transition into enterprise-grade deployments.
- Use feedback, evaluation results, and operational signals to continuously improve agent behavior and reliability.
Required Qualifications
- Experience building AI and machine learning applications in enterprise environments.
- Practical understanding of agentic AI concepts, including planners, tool calling, memory, and multi-agent collaboration.
- Familiarity with enterprise data platforms and APIs, including structured, unstructured, and document-based data.
- Awareness of AI governance, risk, and compliance considerations in regulated environments.
- Strong problem-solving skills and the ability to break down complex use cases into modular agent behaviors.
- Product-oriented mindset focused on delivering measurable outcomes.
- Ability to work within established architectural and governance requirements.
- Clear communication skills, including the ability to explain AI behavior and limitations to non-technical stakeholders.
- Proficiency in Python and AI frameworks for large language models (LLMs) and AI 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 sufficient to work within established pipelines.
Preferred Qualifications
- Proficiency with Databricks.
Work Location and Arrangement
- Location: The Energy Center, Birmingham, Alabama, or Ivan Allen, Atlanta, Georgia.
- Hybrid work arrangement: 4 days in the office and 1 day remote.
- Job levels: 5–7.
Additional Employment Requirements
This position falls under the company's Insider Threat Program and involves access to and control over sensitive data, systems, or assets. Selected candidates will be required to complete enhanced personnel screening, including a background review, drug screening, and psychological assessment.
