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Process Automation Engineer Cell Therapy Jobs in Baltimore, MD

Gigatec Engineering

Automation Engineer

Annapolis, MD · On-site

... the Software Automation Engineer, you'll be part of a team responsible for executing and ... testing processes across a diverse range of HPC operating environments. This role involves the ...

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All JobsProcess Automation Engineer Cell Therapy JobsProcess Automation Engineer Cell Therapy Jobs in Baltimore, MD

Process Automation Engineer Cell Therapy information

See Baltimore, MD salary details

$50.2K

$107.2K

$171.4K

How much do process automation engineer cell therapy jobs pay per year?

As of Sep 4, 2026, the average yearly pay for process automation engineer cell therapy in Baltimore, MD is $107,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $129,700.00 per year, depending on experience, location, and employer.

What does a process automation engineer in cell therapy do?

A Process Automation Engineer in Cell Therapy is responsible for designing, implementing, and maintaining automated systems that support the manufacturing of cell-based therapies. They work to optimize processes, improve efficiency, and ensure consistency in the production of therapeutic cells. This role involves collaborating with cross-functional teams, troubleshooting automation equipment, and ensuring compliance with industry regulations. Their work helps bring advanced therapies to patients by streamlining complex manufacturing workflows.

What are the key skills and qualifications needed to thrive as a process automation engineer in cell therapy?

To thrive as a Process Automation Engineer in Cell Therapy, you need a strong background in engineering, biotechnology, or a related field, with experience in process control, automation, and manufacturing operations. Familiarity with automation platforms like PLCs, SCADA systems, DCS, and compliance with GxP regulations is typically required, along with certifications such as Six Sigma or relevant automation credentials. Strong problem-solving, communication, and teamwork skills distinguish top performers in designing and optimizing automated cell therapy processes. These competencies are crucial to ensuring efficient, compliant, and scalable production of advanced therapies in a highly regulated and innovative industry.

How does a process automation engineer in cell therapy typically collaborate with cross-functional teams during project execution?

Process Automation Engineers in Cell Therapy frequently work alongside bioprocess scientists, manufacturing associates, and quality assurance teams to design, implement, and optimize automated systems for cell therapy production. They often participate in multidisciplinary meetings to ensure automation solutions align with regulatory requirements and operational goals. Effective communication and problem-solving skills are crucial, as these engineers must translate technical automation concepts into practical solutions that support the unique needs of biologics manufacturing. This collaborative environment enables them to contribute to process improvements while learning from diverse perspectives within the organization.

What is the difference between Process Automation Engineer Cell Therapy vs Process Validation Engineer?

AspectProcess Automation Engineer Cell TherapyProcess Validation Engineer
CredentialsBachelor's in Engineering, Life Sciences, or related field; experience with automation systemsBachelor's in Engineering, Life Sciences, or related field; experience with validation protocols
Work EnvironmentBiotech manufacturing, cell therapy labs, automation system setupManufacturing facilities, quality assurance labs, validation processes
Industry UsageCell therapy manufacturing companies, biotech firmsPharmaceutical and biotech manufacturing, quality departments

The Process Automation Engineer Cell Therapy focuses on designing, implementing, and maintaining automation systems specific to cell therapy production. In contrast, the Process Validation Engineer ensures manufacturing processes meet quality standards through validation protocols. Both roles require a strong understanding of biotech manufacturing, but their core responsibilities differ in automation versus process validation tasks.

What are popular job titles related to Process Automation Engineer Cell Therapy jobs in Baltimore, MD?

For Process Automation Engineer Cell Therapy jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Process Automation Engineer Cell Therapy jobs in Baltimore, MD look for?

The top searched job categories for Process Automation Engineer Cell Therapy jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Process Automation Engineer Cell Therapy jobs?

Cities near Baltimore, MD with the most Process Automation Engineer Cell Therapy job openings:

Process Automation Engineer Cell Therapy jobs near you
Infographic showing various Process Automation Engineer Cell Therapy job openings in Baltimore, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $107,231 per year, or $51.6 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Baltimore, MD • Remote

Full-time

Re-posted 14 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