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Automation Engineering Manager Jobs in Frederick, MD

Catalyx

Automation SME

Gaithersburg, MD

$170K - $190K/yr

... management. · Provide technical guidance to vendors, system integrators, and internal engineering teams while promoting automation best practices and continuous improvement. Requirements · Bachelor ...

Catalyx

Automation SME

Gaithersburg, MD

Support risk assessments, alarm management, cybersecurity, and automation lifecycle management. Provide technical guidance to vendors, system integrators, and internal engineering teams while ...

VB Spine

Manager, Security Engineering

Leesburg, VA · On-site

Manager, Security Engineering Location: Leesburg, VA Company: VB Spine Looking for a career where ... Technology Enablement & Automation * Implement automation and orchestration solutions (SOAR) to ...

VB Spine, LLC

Manager, Security Engineering

Leesburg, VA · On-site

$120 - $160/hr

Senior Manager, Security Engineering Looking for a career where your work truly matters? At VB ... Implement automation and orchestration solutions (SOAR) to streamline security workflows and reduce ...

M.C. Dean, Inc

Control Engineer 3

Leesburg, VA · On-site

$84K - $109K/yr

Personnel Management * Assigns technical tasks and coordinates with entry-level engineers * Assigns ... Master's degree in electrical engineering, automation engineering, or a related field 3+ years of ...

MSD

Senior Software Automation Engineer

Gaithersburg, MD · On-site

$101K - $154K/yr

Bachelor's degree or higher in Computer Science, Software Engineering, Electrical Engineering or ... management is preferred. KNOWLEDGE, SKILLS AND ABILITIES * In-depth knowledge of full lifecycle ...

Proconex

Senior Automation Consultant

Gaithersburg, MD · Hybrid

$112K - $147K/yr

... engineering and operations teams. The role is expected to average approximately 30 hours per week ... Support automation standards, data integrity, cybersecurity, and lifecycle management initiatives.

Proconex

Senior Automation Consultant

Frederick, MD · Hybrid

$103K - $135K/yr

... engineering and operations teams. The role is expected to average approximately 30 hours per week ... Support automation standards, data integrity, cybersecurity, and lifecycle management initiatives.

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Automation Engineering Manager information

See Frederick, MD salary details

$83.7K

$128.4K

$161.4K

How much do automation engineering manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for automation engineering manager in Frederick, MD is $128,390.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $148,800.00 per year, depending on experience, location, and employer.

What does an automation engineering manager do?

An Automation Engineering Manager oversees the design, implementation, and optimization of automated systems in manufacturing or software development. They lead a team of engineers to improve efficiency, reduce costs, and enhance productivity through automation technologies. Responsibilities include project management, system integration, troubleshooting, and ensuring compliance with industry standards. They collaborate with other departments to align automation strategies with company goals. Strong technical expertise, leadership skills, and problem-solving abilities are essential for this role.

What are the key skills and qualifications needed to thrive as an automation engineering manager?

An Automation Engineering Manager should have a strong background in automation technologies, process improvement, project management, and a relevant engineering degree. Familiarity with PLC/SCADA systems, robotics, industrial control systems, and certifications such as PMP or Six Sigma is often required. Excellent leadership, problem-solving, and communication skills help drive team performance and foster cross-functional collaboration. These capabilities are essential for delivering efficient automation solutions, ensuring project success, and guiding multidisciplinary teams in fast-paced environments.

What are some typical challenges faced by automation engineering managers in their day-to-day work?

Automation Engineering Managers often balance multiple projects and deadlines while ensuring high quality and compliance with industry standards. A common challenge is integrating new automation technologies with existing systems, which requires careful planning and troubleshooting. Collaboration with cross-functional teams—including operations, IT, and maintenance—is crucial for aligning technical solutions with business goals. Additionally, staying current with emerging automation trends and training team members on new tools is a key part of the role, helping drive continuous improvement and operational efficiency.

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Automation Engineering Manager jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Frederick, MD • On-site

Other

Re-posted 20 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