Hybrid AI Engineer for Enterprise AI Solutions

Mississippi Power Co

Birmingham (AL)

Hybrid

USD 120,000 - 150,000

Full time

5 days ago
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Benefits offered by this job

Relocation assistance

Job summary

Southern Company is seeking an AI Engineer, or Application Analyst to design, build and evolve AI solutions within a regulated, enterprise environment in Birmingham, AL. The role emphasizes production-ready agents, models and workflows aligned to enterprise standards.

The candidate should have hands-on experience with Python, LLMs, Databricks, and retrieval-augmented patterns, plus a product-focused mindset and strong communication with stakeholders.

Qualifications

  • Experience building AI and ML applications in enterprise settings.
  • Understanding of agentic AI concepts including planners and tool-calling.
  • Familiarity with enterprise data platforms and APIs across data types.
  • Awareness of AI governance, risk and compliance in regulated environments.

Responsibilities

  • Develop AI solutions and configure agents that reason, plan and act using models and tools.
  • Translate requirements into end-to-end AI workflows including ingestion and inference.
  • Embed safety controls, validation steps, and explainability into agent logic.
  • Collaborate with architects and ML Ops for deployment, monitoring and iteration.
  • Tune prompts and models to improve accuracy, latency, and cost efficiency.
  • Prototype new capabilities and scale to enterprise-grade deployments.
  • Refine agent performance using feedback and operational signals.

Skills

AI Applications
Agentic AI concepts
Python
LLMs
API integration
Prompt engineering

Tools

Databricks
Vector databases

Job description

Southern Company is seeking an AI Engineer, or Application Analyst to design, build and evolve AI solutions within a regulated, enterprise environment in Birmingham, AL. The role emphasizes production-ready agents, models and workflows aligned to enterprise standards.

The candidate should have hands-on experience with Python, LLMs, Databricks, and retrieval-augmented patterns, plus a product-focused mindset and strong communication with stakeholders.

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