Solution Architect IV – AI & Automation 4P/789

4P Consulting Inc.; Atlanta (GA); On-site; USD 170,000 - 190,000; Full time

Job summary

Southern Company Services in Atlanta, GA is seeking an experienced Solution Architect IV to lead the design, development, and deployment of enterprise AI, machine learning, automation, and agentic AI solutions. This role combines architecture leadership with hands-on engineering to define standards, build production-grade systems, and guide cross-functional teams.

The ideal candidate will ensure security, scalability, compliance, responsible AI, observability, and operational support across

Qualifications

• 10+ years of experience in solution architecture, software engineering, or enterprise architecture.

Responsibilities

• Design enterprise AI, ML, automation, and agentic AI solutions.
• Develop architectures for LLM applications, AI agents, RAG solutions, vector databases, APIs, and enterprise integrations.
• Build and support production-grade software solutions and reusable technical components.
• Lead architecture reviews and provide technical direction to engineering teams.
• Partner with product, engineering, cloud, data, cybersecurity, and business stakeholders.
• Create solution designs, technical specifications, implementation plans, and engineering standards.
• Support delivery planning, work allocation, risk management, and production escalations.
• Ensure solutions align with enterprise security, governance, compliance, scalability, reliability, and observability standards.

Skills

LLMs

AI agents

RAG

Vector databases

APIs

Cloud platforms

Enterprise integration

Leadership

Architecture reviews

Security & compliance

Tools

Azure

AWS

Google Cloud

Kubernetes

CI/CD

API management

Job description

Position: Solution Architect IV - AI & Automation

Location: Atlanta, GA
Duration: 5 Months

Client: Southern Company Services

Southern Company Services is seeking an experienced Solution Architect IV to lead the design, development, and production deployment of enterprise AI, machine learning, automation, and agentic AI solutions.

This role combines architecture leadership with hands-on engineering. The ideal candidate will define technical standards, build production-grade solutions, guide engineering teams, and ensure systems meet enterprise requirements for security, scalability, compliance, responsible AI, observability, and operational support.

Key Responsibilities

• Design enterprise AI, machine learning, automation, and agentic AI solutions.
• Develop architectures for LLM applications, AI agents, RAG solutions, vector databases, APIs, and enterprise integrations.
• Build and support production-grade software solutions and reusable technical components.
• Lead architecture reviews and provide technical direction to engineering teams.
• Partner with product, engineering, cloud, data, cybersecurity, and business stakeholders.
• Create solution designs, technical specifications, implementation plans, and engineering standards.
• Support delivery planning, work allocation, risk management, and production escalations.
• Ensure solutions align with enterprise security, governance, compliance, scalability, reliability, and observability standards.

Required Qualifications

• 10+ years of experience in solution architecture, software engineering, or enterprise architecture.
• Experience leading enterprise AI, machine learning, automation, or agentic AI initiatives from design through deployment.
• Strong expertise in LLMs, AI agent frameworks, RAG, vector databases, APIs, cloud platforms, and enterprise integration.
• Hands-on experience designing and building scalable, production-grade applications.
• Experience leading technical teams and conducting architecture reviews.
• Strong understanding of responsible AI, cybersecurity, compliance, observability, and operational-support models.
• Strong communication, leadership, and problem-solving skills.

Preferred Qualifications

• Experience with Azure, AWS, or Google Cloud Platform.
• Familiarity with containers, Kubernetes, microservices, CI/CD, and API management.
• Experience with AI governance, model evaluation, monitoring, logging, and performance optimization.
• Utility, energy, or regulated-industry experience is preferred.