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Ai Solutions Manager Jobs in Decatur, GA (NOW HIRING)

Accenture

Sr AI Architect

Atlanta, GA

The AI Architect Manager is a critical leadership role responsible for designing, developing, and scaling enterprise AI solutions aligned to business strategy and measurable outcomes. This role ...

Radancy

Media Solutions Manager

Atlanta, GA · On-site

... through AI-powered recruiting technology, data-driven insights, and world-class candidate ... As a Media Solutions Manager at Radancy, you'll drive the successful adoption, retention and growth ...

United Airlines

C# Developer | AI Solutions

Atlanta, GA · On-site

$43K - $105K/yr

... management or technical application management of client-specific package based solutions. Your ... AI/LLM development knowledge/Prompt Engineering * Nice to have: Github CoPilot efficient prompt ...

Reply

Senior AI Engineer

Atlanta, GA

$100K - $138K/yr

Leading the development and implementation of AI-driven solutions, managing the entire AI project lifecycle, including data collection, model training, deployment, and monitoring. Demonstrated ...

AT&T

Principal Solutions Architecture

Atlanta, GA · On-site

$155K - $261K/yr

We are building a high-performing team of leaders, architects, AI experts, product managers, data scientists, and delivery professionals who can transform ideas into deployed solutions, accelerate ...

Amerisbank

AI Architect

Atlanta, GA

$60.50 - $79.75/hr

Ensures interoperability with core systems (core banking, CRM, ECM, data platforms). * Identifies opportunities to consolidate and standardize AI and automation solutions across the enterprise.

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Ai Solutions Manager information

See Decatur, GA salary details

$48.3K

$91.9K

$147.4K

How much do ai solutions manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for ai solutions manager in Decatur, GA is $91,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,800.00 and $112,300.00 per year, depending on experience, location, and employer.

What is an AI Solutions Manager?

AI Solutions Managers are professionals responsible for overseeing the development, implementation, and management of artificial intelligence solutions within an organization. They work closely with technical teams, stakeholders, and clients to identify business needs and translate them into AI-driven strategies and products. Their duties often include project management, resource allocation, ensuring successful delivery of AI projects, and staying up-to-date with the latest AI technologies and trends. By bridging the gap between business objectives and technical execution, they help organizations leverage AI to achieve better outcomes.

How does an AI Solutions Manager typically collaborate with cross-functional teams during a project?

AI Solutions Managers play a pivotal role in bridging the gap between technical teams and business stakeholders. They regularly coordinate with data scientists, engineers, product managers, and clients to ensure AI solutions align with organizational goals and customer needs. This involves translating business requirements into technical specifications, facilitating project timelines, and addressing challenges that may arise during development and deployment. Effective communication and the ability to manage diverse viewpoints are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as an AI Solutions Manager, and why are they important?

To thrive as an AI Solutions Manager, you need a strong background in computer science, data analytics, and project management, often supported by a relevant degree and experience in AI technologies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and certifications like PMP or AWS Certified Machine Learning are highly valuable. Exceptional communication, leadership, and problem-solving skills are crucial for coordinating teams and translating business needs into technical solutions. These skills ensure the successful delivery of AI-driven projects that meet organizational objectives and drive innovation.

What is the difference between Ai Solutions Manager vs Data Scientist?

AspectAi Solutions ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI project managementDegree in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentLeads AI projects, collaborates with cross-functional teams, manages AI solution deploymentAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI-focused firms, consultingResearch institutions, tech companies, finance, healthcare

The Ai Solutions Manager focuses on leading AI project implementation and managing teams, while Data Scientists primarily analyze data and develop AI models. Both roles require technical skills, but the manager role emphasizes project oversight and strategic deployment.

How do you become an AI solutions manager?

To become an AI solutions manager, candidates typically need a strong background in computer science, data science, or related fields, along with experience in AI, machine learning, and project management. Earning relevant certifications or advanced degrees can enhance prospects, and developing skills in programming languages like Python and familiarity with AI tools are also beneficial. Prior experience leading technical teams or managing AI projects is often required for this role.

What are popular job titles related to Ai Solutions Manager jobs in Decatur, GA?

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What job categories do people searching Ai Solutions Manager jobs in Decatur, GA look for?

The top searched job categories for Ai Solutions Manager jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Ai Solutions Manager jobs?

Cities near Decatur, GA with the most Ai Solutions Manager job openings:

Ai Solutions Manager jobs near you
Infographic showing various Ai Solutions Manager job openings in Decatur, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $91,944 per year, or $44.2 per hour.

Solution Architect IV AI & Automation 4P/789

4P Consulting Inc.

Atlanta, GA • On-site

$60.75 - $80/hr

Contractor

Posted 18 days ago

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.