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Remote Building Science Jobs in Springfield, MA (NOW HIRING)

The Hartford

Principal AI Engineer

Hartford, CT · On-site +1

$168K - $252K/yr

At the Hartford, we are seeking a Principal AI Engineer who is responsible for building our AI ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ...

The Hartford

Principal AI Engineer

Hartford, CT · On-site +1

This team is dedicated to building state-of-the-art AI platform. We are looking for an experienced ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ...

The Hartford

Sr. Cloud Architect

Hartford, CT · On-site +1

$137K - $205K/yr

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... This will be a HANDS-ON role building IaC and Cloud platforms to support POCs of new technologies.

The Hartford

Sr. Cloud Architect

Hartford, CT · On-site +1

$137K - $205K/yr

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... This will be a HANDS-ON role building IaC and Cloud platforms to support POCs of new technologies.

FAVARH

AI Principal Engineer

Windsor, CT · On-site +1

This role is fully remote, with no regular in-office requirement. The Contributions You'll Make ... Science, Engineering, Mathematics, or a related field preferred. * Experience building and ...

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Showing results 21-40

All JobsBuilding Science JobsRemote Building Science JobsRemote Building Science Jobs in Springfield, MA

Remote Building Science information

See Springfield, MA salary details

$24.4K

$48.2K

$78.7K

How much do remote building science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote building science in Springfield, MA is $48,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,400.00 and $51,800.00 per year, depending on experience, location, and employer.

What is a remote building science professional?

A Remote Building Science professional is an expert who analyzes and improves building performance, energy efficiency, and occupant comfort—often using digital tools and remote technologies. They may conduct virtual assessments, review building plans, model energy use, and recommend improvements, all without being physically present at the project site. Their work helps ensure buildings are safe, healthy, and environmentally sustainable, using a mix of engineering, architecture, and environmental science principles. This role is particularly important for organizations seeking to optimize buildings across multiple locations or during times when in-person site visits are challenging.

What are the key skills and qualifications needed to thrive as a remote building science professional?

A strong foundation in building physics, energy modeling, and construction principles, often supported by a degree in engineering, architecture, or a related field, is essential for a Remote Building Science Specialist. Familiarity with technical tools such as energy simulation software (e.g., EnergyPlus, WUFI), CAD programs, and certifications like LEED or BPI is typically required. Outstanding analytical thinking, communication, and self-motivation are crucial soft skills, especially when collaborating remotely with multidisciplinary teams. These skills ensure accurate assessments, effective solutions, and successful project outcomes in the evolving field of sustainable building design and performance.

How does a remote building science professional typically collaborate with on-site teams during a project?

Remote Building Science professionals often work closely with on-site teams by leveraging digital tools such as video conferencing, BIM software, and cloud-based documentation. They are responsible for analyzing building performance data, providing recommendations, and ensuring that sustainability and energy efficiency goals are met. Effective communication and regular virtual meetings are key to maintaining alignment between remote experts and field personnel. Establishing clear protocols for data sharing and feedback helps ensure smooth collaboration throughout the project lifecycle.

What is the difference between Remote Building Science vs Remote Building Envelope Specialist?

AspectRemote Building ScienceRemote Building Envelope Specialist
CredentialsBuilding science certifications, LEED, HVAC knowledgeBuilding science background, certifications in envelope systems
Work EnvironmentConsulting, research, project analysis remotely or on-siteDesign, assessment, and troubleshooting building envelopes remotely or on-site
Industry UsageBuilding consulting firms, energy efficiency projectsArchitectural firms, construction, retrofit projects
Search & ComparisonOften compared for building performance rolesCompared for envelope design and repair roles

Remote Building Science and Remote Building Envelope Specialist roles share overlapping skills in building performance and certifications. However, Building Science focuses broadly on overall building systems and energy efficiency, while Building Envelope Specialists concentrate specifically on the building's exterior and envelope systems. Both roles are vital in construction and retrofit projects, often working together to improve building performance remotely.

What are popular job titles related to Remote Building Science jobs in Springfield, MA?

For Remote Building Science jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Remote Building Science jobs in Springfield, MA look for?

The top searched job categories for Remote Building Science jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Remote Building Science jobs?

Cities near Springfield, MA with the most Remote Building Science job openings:

Remote Building Science jobs near you
Infographic showing various Remote Building Science job openings in Springfield, MA as of August 2026, with employment types broken down into 40% Full Time, and 60% Part Time. Highlights an 100% Remote job distribution, with an average salary of $48,222 per year, or $23.2 per hour.

AI Native Full Stack Engineer

3B Staffing LLC

Hartford, CT • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

AI Native Full Stack Engineer

REMOTE

CVS

LOCATION: REMOTE

**PLEASE MAKE SURE LINKED IN AND PHOTOS MATCH**

**PLEASE MAKE SURE TO READ THE BELOW IN DETAIL AND PROVIDE THE CORRECT PROFILES**

**THIS MANAGER IS EXTREMELY TOUGH AND PICKY - NEED EXCEPTIONAL COMMUNICATION SKILLS. NO USE OF AI, NEED LEGIT CANDIDATES HERE**

FEEDBACK FROM 1st BATCH:

The profiles you shared are amazing, but as things are evolving a bit here, we need to do some minor course corrections on the nature of profiles we are looking for. Our goal here is to build AI native Applications which will be used in Automation scenarios. Most of these profiles are more suitable for data analytics / data engineering / core ML model refinements etc..

We are looking for four types of engineers which I'd call class I through IV

I: Full stack web development professional who has depth of experience in building Angular Frontend with Python (Fast API) based backends. This engineer should have some experience with ML frameworks, using webservices from OpenAI, Google Vertex AI etc.. and deployment knowledge to get his / her application to GCP.

II: Full stack web development professional who has depth of experience in building Angular Frontend with Java (Springboot) based backends. This engineer may or may not have experience with ML frameworks, using webservices from OpenAI, Google Vertex AI etc.. but has to for sure have deployment knowledge to get his / her application to GCP.

JOB DESCRIPTION:

You will be responsible for designing, developing, and deploying robust and scalable AI Native Applications that leverage artificial intelligence (AI) and machine learning (ML) services and tools. You bring expertise in full-stack web application development using programing languages like Python and JavaScript frameworks such as Angular C React. You have demonstrated experience of fundamentals of machine learning principles, natural language processing (NLP) and principles of Generative AI. You must have experience on Google Cloud Platform (GCP) through the entire application life cycle management through development, deployment, telemetry, logging etc.,

Responsibilities:

  • Design, develop, and maintain AI Native web applications and/or web services to deliver innovative features and functionalities. Eg: Retrival Augmented Generation
  • Utilize Google Cloud Platform (GCP) services (e.g., AI Platform, Vertex AI, BigQuery, Cloud Storage) to build, train, and deploy AI Native Applications.
  • Implement and integrate AI/ML models and ML Services into existing applications and systems using Python and JavaScript.
  • Collaborate with data scientists, product managers, and other engineering teams to translate business requirements into technical solutions.
  • Finetune models on GCP for use case specific needs.
  • Conduct model evaluation, testing, and deployment, ensuring high-quality and reliable AI solutions.
  • Stay updated with the latest advancements in AI, machine learning, and cloud technologies.
  • Working knowledge of Agile Scrum methodologies including document technical designs, processes, and model specifications.
  • Leverage LangChain, LangGraph, ADK, and other agent orchestration frameworks.
  • Implement prompt engineering, chain-of-thought workflows, and retrieval- augmented generation (RAG) pipelines.
  • Develop modular, scalable architectures for AI-powered web apps and APIs.
  • Integrate LLMs with enterprise systems, databases, and external services.
  • Implement vector databases for semantic search.
  • Build connectors for structured/unstructured data ingestion.
  • Work closely with automation teams, architects, and product owners to deliver end-to-end AI solutions.
  • Document workflows and best practices for AI integration.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 5+ years of experience as an AI Engineer, ML Engineer, or similar role.
  • Strong proficiency in Python (mandatory) and familiarity with

JavaScript/TypeScript.

  • Hands-on experience with LangChain, ADK, and orchestration frameworks.
  • Experience with LLMs (OpenAI, Azure OpenAI, Hugging Face) and prompt engineering.
  • Proficiency in GCP services and SDKs; experience with Azure or AWS is a plus.
  • Strong knowledge of FastAPI/Django, Angular/React, and ML libraries (TensorFlow, PyTorch, scikit-learn).
  • Familiarity with vector databases (Pinecone, Weaviate, FAISS).
  • Experience with containerization (Docker/Kubernetes) and CI/CD pipelines.
  • Good understanding of ML algorithms, deep learning, and statistical analysis.
  • Ability to work independently and collaboratively in Agile environments.
  • Excellent communication and interpersonal skills.

Apply