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Director Rpa Jobs in Alabama (NOW HIRING)

GE Aerospace

Automation Manufacturing Engineer

Auburn, AL · On-site

$72K - $92K/yr

... robot, controls, tooling, equipment, and process issues. * Lead structured problem solving: use ... Motivated and hardworking: self-directed, dependable, eager to learn, and willing to take ownership ...

DeSHAZO LLC

Automation Controls Engineer

Huntsville, AL · On-site

$80K - $106K/yr

Direct electrical assembly during equipment build. * From-scratch, start-to-finish PLC, HMI, and ... Proven ability in robot programming, Fanuc preferred * Experience setting up machine vision for ...

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Showing results 21-40

All JobsRpa JobsDirector Rpa JobsDirector Rpa Jobs in Alabama

Director Rpa information

See Alabama salary details

$20.7K

$90.4K

$155.6K

How much do director rpa jobs pay per year?

As of Sep 13, 2026, the average yearly pay for director rpa in Alabama is $90,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,695.00 and $110,363.00 per year, depending on experience, location, and employer.

What is a director of RPA?

A Director of Robotic Process Automation (RPA) is a senior leader responsible for overseeing the strategy, implementation, and management of RPA initiatives within an organization. This role involves identifying processes that can be automated, leading teams to develop and deploy automation solutions, and ensuring that RPA aligns with business goals. The Director of RPA also monitors performance, manages budgets, and keeps up with trends in automation technology. Their work helps organizations improve efficiency, reduce costs, and streamline operations.

What are the key skills and qualifications needed to thrive as a director of RPA, and why are they important?

To thrive as a Director of RPA, you need a solid background in process automation, project management, and business analysis, often supported by a relevant degree and experience leading automation initiatives. Familiarity with RPA platforms like UiPath, Automation Anywhere, or Blue Prism, as well as certifications in these tools, is crucial for overseeing successful deployments. Strategic thinking, leadership, and strong communication skills help drive collaboration across departments and secure stakeholder buy-in. These competencies are essential to ensure seamless automation implementation that aligns with organizational goals and delivers measurable value.

What are the main challenges a director of RPA faces when scaling automation initiatives across multiple departments?

A Director of RPA often encounters challenges such as aligning automation goals with varied departmental processes, managing change resistance among staff, and ensuring that automation solutions are robust and secure. Coordinating with IT, business analysts, and department heads is essential to identify the best opportunities for automation and to standardize practices. Additionally, maintaining clear communication and providing ongoing training are crucial for successful adoption and scaling of RPA across the organization.

What is the difference between Director Rpa vs Rpa Developer?

AspectDirector RpaRpa Developer
Required CredentialsTypically requires a Bachelor's degree in Computer Science or related field, with experience in RPA tools and leadership certificationsRequires a Bachelor's degree in Computer Science, Software Engineering, or related field, with proficiency in RPA tools
Work EnvironmentLeads RPA teams, manages projects, and collaborates with stakeholders at an organizational levelDevelops, tests, and maintains RPA bots within a team or project setting
Employer & Industry UsageUsed in large enterprises across finance, healthcare, and manufacturing for automation strategyEmployed in similar industries for automation development and implementation

The main difference between a Director Rpa and an Rpa Developer lies in their responsibilities and seniority. The Director Rpa oversees automation strategies and manages teams, while the Rpa Developer focuses on building and maintaining automation bots. Both roles require knowledge of RPA tools, but the Director Rpa typically has more leadership and strategic planning experience.

What are the most commonly searched types of Rpa jobs in Alabama?

The most popular types of Rpa jobs in Alabama are:

What are popular job titles related to Director Rpa jobs in Alabama?

For Director Rpa jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Director Rpa jobs in Alabama look for?

The top searched job categories for Director Rpa jobs in Alabama are:

Director Rpa jobs near you
Infographic showing various Director Rpa job openings in Alabama as of September 2026, with employment types broken down into 2% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $90,441 per year, or $43.5 per hour.

Generative AI Automation Engineer - Remote Job

Huntsville, AL • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 23 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