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

Novelis

Head of AI Automation

Atlanta, GA

The Head of AI Automation directs a multi-disciplinary global engineering organization across ... Knowledge Management Solutions (RAG Solutions) * Advanced Agentic Solutions (AI Foundry ...

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Quora

AI Automation Engineer -Remote

Atlanta, GA · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... Excellent debugging skills and the ability to manage multiple projects simultaneously * High level ...

Quora

AI Automation Engineer -Remote

Kennesaw, GA · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... Excellent debugging skills and the ability to manage multiple projects simultaneously * High level ...

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All JobsManager Ai Automation JobsManager Ai Automation Jobs in Decatur, GA

Manager Ai Automation information

See Decatur, GA salary details

$30.3K

$113.8K

$165.5K

How much do manager ai automation jobs pay per year?

As of Jun 20, 2026, the average yearly pay for manager ai automation in Decatur, GA is $113,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $135,700.00 per year, depending on experience, location, and employer.

Is AI automation a good career?

A career as an AI automation manager involves developing and implementing automated systems using tools like machine learning and robotic process automation. It is a growing field with high demand for technical skills, offering opportunities in various industries and competitive salaries. Success typically requires strong programming, problem-solving, and knowledge of AI frameworks.

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

To thrive as a Manager AI Automation, you need a strong background in computer science or engineering, experience with AI and machine learning, and proven leadership in managing technical teams. Familiarity with automation tools like UiPath or Blue Prism, cloud platforms such as AWS or Azure, and relevant certifications (e.g., Certified AI Practitioner) are highly valued. Exceptional problem-solving, project management, and communication skills help you effectively lead cross-functional teams and drive strategic initiatives. These competencies are vital for delivering innovative automation solutions that optimize business operations and align with organizational goals.

How does a Manager of AI Automation typically collaborate with other departments within an organization?

A Manager of AI Automation regularly works cross-functionally, partnering with teams such as IT, operations, data science, and business units to identify automation opportunities and align project goals with organizational objectives. They facilitate communication between technical staff and non-technical stakeholders, ensuring that automation initiatives meet business needs while adhering to technical feasibility and compliance standards. Effective collaboration is key to managing expectations, driving adoption, and delivering successful AI automation solutions that create measurable value.

What does a Manager AI Automation do?

A Manager AI Automation oversees the implementation and management of artificial intelligence (AI) solutions that automate business processes. This role involves leading teams, coordinating projects, and ensuring that AI technologies are effectively integrated into existing workflows to drive efficiency and innovation. They also collaborate with stakeholders to identify automation opportunities, monitor outcomes, and ensure compliance with industry standards. Strong technical, project management, and leadership skills are essential for success in this position.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI executives, senior data scientists, or machine learning directors, often requiring advanced skills, extensive experience, and leadership responsibilities. These positions may involve overseeing AI strategy, developing complex models, and managing large teams or projects, with compensation reflecting the seniority and impact of the role.

Which 3 jobs will survive AI?

For a Manager in AI Automation, roles that require complex decision-making, emotional intelligence, and creative problem-solving are likely to persist, such as strategic management, human resources, and specialized technical oversight. These jobs involve skills that are difficult for AI to fully replicate, especially when combined with domain expertise and leadership abilities.

How much do AI automation jobs pay?

AI automation manager salaries typically range from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in machine learning and programming can earn higher compensation, often exceeding $180,000 per year.

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

AspectManager Ai AutomationData Scientist
Required CredentialsBachelor's or Master’s in Computer Science, Engineering, or related field; experience in AI/Automation projectsBachelor's or Master’s in Data Science, Statistics, Computer Science; proficiency in programming and statistical analysis
Work EnvironmentLeads teams, manages AI automation projects, collaborates with IT and business unitsAnalyzes data, develops models, interprets complex datasets, often in research or analytics teams
Industry UsageCommon in tech, manufacturing, finance, and automation-focused companiesWidely used across tech, healthcare, finance, and research sectors

The main difference is that a Manager Ai Automation oversees AI automation projects and manages teams, while a Data Scientist focuses on analyzing data and developing models. Both roles require technical skills, but their responsibilities and work environments differ significantly.

What are the most commonly searched types of Ai Automation jobs in Decatur, GA? The most popular types of Ai Automation jobs in Decatur, GA are:
What are popular job titles related to Manager Ai Automation jobs in Decatur, GA? For Manager Ai Automation jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Manager Ai Automation jobs in Decatur, GA look for? The top searched job categories for Manager Ai Automation jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Manager Ai Automation jobs? Cities near Decatur, GA with the most Manager Ai Automation job openings:
Manager Ai Automation jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Atlanta, GA • Remote

Other

Posted 29 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply