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Building Automation Design Engineer Jobs in Baltimore, MD

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Roboticist/UAS Design Engineer

Churchville, MD

$85K - $110K/yr

Position Roboticist/UAS Design Engineer * Location: Churchville, MD * Security Clearance: Active ... Coursework and/or practical experience in robotics, automation, unmanned systems (UAVs in ...

AST SpaceMobile

OSS Test & Automation Engineer

Lanham, MD · On-site

$46 - $60.75/hr

AST SpaceMobile is building the first and only global cellular broadband network in space to ... Design, develop, and maintain automation workflows and orchestration scripts executed within our ...

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All JobsBuilding Automation Design Engineer JobsBuilding Automation Design Engineer Jobs in Baltimore, MD

Building Automation Design Engineer information

See Baltimore, MD salary details

$36.8K

$106.4K

$162K

How much do building automation design engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for building automation design engineer in Baltimore, MD is $106,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $122,700.00 per year, depending on experience, location, and employer.

What is the difference between Building Automation Design Engineer vs Mechanical Engineer?

AspectBuilding Automation Design EngineerMechanical Engineer
CredentialsTypically requires a degree in engineering, certifications like LEED or BACnet, and knowledge of control systemsRequires a degree in mechanical engineering, PE license often preferred, and similar technical certifications
Work EnvironmentDesigning and integrating building automation systems, collaborating with HVAC and electrical teamsDesigning mechanical systems, working on HVAC, plumbing, and mechanical equipment
Industry UsageCommon in building management, HVAC, and smart building projectsUsed across construction, manufacturing, and product design sectors
Search & Comparison IntentOften compared for roles involving building systems and automationCompared for broader mechanical system design roles

The Building Automation Design Engineer focuses on designing and implementing building control systems, while the Mechanical Engineer works on mechanical systems like HVAC and plumbing. Both roles require engineering credentials and collaborate within building projects, but their core responsibilities differ in scope and specialization.

What is a building automation design engineer?

Building Automation Design Engineers are professionals who design, develop, and implement automated systems that control various functions within buildings, such as heating, ventilation, air conditioning (HVAC), lighting, and security. Their work ensures buildings operate efficiently, safely, and comfortably while optimizing energy usage. They collaborate with architects, contractors, and facility managers to integrate automation systems into new or existing structures. These engineers must have a strong understanding of electrical and mechanical systems, as well as proficiency in specialized software used for system design.

What are the key skills and qualifications needed to thrive as a building automation design engineer?

To thrive as a Building Automation Design Engineer, you need a solid background in electrical or mechanical engineering, HVAC systems, and building automation principles, often supported by a relevant degree and experience in system design. Familiarity with Building Management Systems (BMS), AutoCAD, PLC programming, and certifications like LEED or Tridium Niagara are commonly required. Strong problem-solving abilities, project management, and effective communication with clients and contractors set top performers apart. These skills ensure efficient, safe, and sustainable building operations that meet client and regulatory expectations.

What are some typical challenges building automation design engineers face when integrating new technologies into existing building systems?

Building Automation Design Engineers often encounter challenges when integrating new technologies, such as ensuring compatibility with legacy systems, managing cybersecurity risks, and minimizing disruption to building operations. They must carefully assess existing infrastructure, coordinate with facility managers, and develop phased implementation plans to ensure smooth transitions. Staying updated with evolving industry standards and collaborating closely with multidisciplinary teams are essential to overcoming these obstacles and delivering effective automation solutions.
What are popular job titles related to Building Automation Design Engineer jobs in Baltimore, MD? For Building Automation Design Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Building Automation Design Engineer jobs in Baltimore, MD look for? The top searched job categories for Building Automation Design Engineer jobs in Baltimore, MD are:
Building Automation Design Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Baltimore, MD • On-site

Other

Re-posted 16 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