2

Remote Software Architect Jobs in Massachusetts (NOW HIRING)

What We Need NetBrain is looking for a Software Architect to own the end-to-end technical architecture of our next-generation SaaS platform on AWS. This is a senior, hands-on leadership role at the ...

HubSpot Architect

Waltham, MA · On-site +1

$80K - $90K/yr

As our HubSpot Architect, you'll own client HubSpot engagements end to end, from the first ... M-F, 9am-5pm - hybrid or remote work model (must reside in the U.S.). * Structure: Full-time, ...

Company Description We specialize in Staffing, Consulting, Software Development, and Training along ... remote Positions: 1 & Immediate interviews and offer 50%-100% travel on-site to Boston, MA with ...

Senior Software Engineer

Boston, MA · On-site +1

$133K - $175K/yr

DevOps, standardized - write once, deploy everywhere Architect is a rapidly growing startup ... Software engineering @ Architect.io We are seeking a Senior Software Engineer to join our ...

NAVA Software is looking for an AI Engineer Details: AI Engineer Location: 100% Remote Duration: 6+ ... Guide architecture, infrastructure, and tools for AI/ML products. * Develop rapid prototypes and ...

Embedded Software Engineer

Somerville, MA · On-site +1

$143K - $188K/yr

Easily implement common embedded software architecture patterns for things like filtering, control loops, and remote procedure calls * Architect code that your fellow software engineers are excited ...

next page

Showing results 1-20

Remote Software Architect information

What is a remote software architect?

A Remote Software Architect is a professional who designs and oversees the technical structure of software systems while working from a location outside of a traditional office, often from home or another remote setting. Their responsibilities include making high-level design choices, selecting appropriate technologies, and ensuring that the software meets both functional and non-functional requirements. They collaborate with development teams, stakeholders, and other architects, often using online communication and project management tools. Remote Software Architects play a crucial role in ensuring that software projects are scalable, maintainable, and aligned with business goals.

What does a remote software architect do?

The job duties of a remote software architect involve planning software and system development projects, defining standards, and working with IT professionals to make choices about platforms and design specifications, languages, and project management strategies. An architect’s responsibilities include overseeing the technical aspects of the development project. As you manage the effort to develop software applications, you may also be responsible for quality assurance and testing code to ensure that it meets specifications. Remote software architects use online communication and project management tools to collaborate with their team.

What are the key skills and qualifications needed to thrive as a remote software architect, and why are they important?

To thrive as a Remote Software Architect, you need deep expertise in software design, system architecture, and programming languages, often backed by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Azure), architectural frameworks, and tools such as UML or version control systems is essential, and certifications like AWS Certified Solutions Architect can be advantageous. Outstanding communication, leadership, and problem-solving skills set top performers apart, especially when collaborating across distributed teams. These competencies are crucial for designing scalable solutions, aligning technical and business goals, and ensuring effective coordination in a remote environment.

How does a remote software architect typically collaborate with distributed development teams?

Remote software architects regularly coordinate with globally distributed teams through video conferences, collaborative design tools, and detailed documentation. They often lead virtual architecture review sessions, provide technical guidance asynchronously, and facilitate decision-making across time zones. Clear communication and strong organizational skills are essential to ensure alignment on design principles and project goals. Many organizations use agile methodologies, which help structure regular check-ins and feedback loops, making remote collaboration more effective.

What is the difference between Remote Software Architect vs Remote Software Developer?

AspectRemote Software ArchitectRemote Software Developer
Required CredentialsBachelor's or Master’s in CS, experience in system design, certifications like TOGAF or AWSBachelor's in CS or related field, coding skills, certifications like Microsoft or AWS
Work EnvironmentDesigning system architecture, collaborating with teams, high-level planningWriting code, debugging, implementing features, testing
Employer & Industry UsageTech companies, consulting firms, enterprise solutionsStartups, tech firms, software agencies

The main difference is that Remote Software Architects focus on designing and planning software systems, requiring strategic and high-level skills, while Remote Software Developers primarily write and implement code. Both roles often work in tech environments, but Architects are more involved in system design and planning, whereas Developers focus on coding and feature development.

Is a remote software architect in demand?

Remote software architects are in high demand due to the increasing reliance on cloud computing, distributed teams, and digital transformation initiatives. They are expected to have strong technical skills, experience with architecture frameworks, and proficiency in tools like UML and cloud platforms, making their expertise valuable across various industries.

Is it possible to work remotely as a software architect?

Yes, remote work is common for software architects, who design and oversee software systems. Many companies offer remote positions that require strong communication skills, experience with collaboration tools, and expertise in system architecture. Remote roles often involve virtual meetings, cloud-based development environments, and flexible schedules.

What are the most commonly searched types of Software Architect jobs in Massachusetts?

The most popular types of Software Architect jobs in Massachusetts are:

What are popular job titles related to Remote Software Architect jobs in Massachusetts?

For Remote Software Architect jobs in Massachusetts, the most frequently searched job titles are:

What cities in Massachusetts are hiring for Remote Software Architect jobs?

Cities in Massachusetts with the most Remote Software Architect job openings:

Infographic showing various Remote Software Architect job openings in Massachusetts as of August 2026, with employment types broken down into 84% Full Time, 2% Part Time, and 14% Contract. Highlights an 100% Remote job distribution.

Principal Software Architect

eClinical Solutions

Mansfield, MA • On-site, Remote

Full-time

Posted 4 days ago


Job description

About eClinical Solutions
eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud, helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle-accelerating innovation that ultimately improves patient outcomes.
Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies. If you're excited about building sophisticated software that makes a real-world impact on healthcare, this is the place to do it.
You will make an impact:
The Principal Software Architect will lead the design and evolution of AI-enabled software platforms, helping translate business and product needs into scalable, secure, and responsible technical solutions. This role partners closely with software engineers, product teams, data specialists, and business stakeholders to identify opportunities for AI, guide architecture decisions, review implementations, and mentor teams on modern engineering practices, AI-assisted development, and sound design principles.
Your day to day:
  • Research emerging AI, machine learning, generative AI, cloud, and software architecture technologies and evaluate their fit for the product platform
  • Analyze existing features, data flows, and system designs for scalability, performance, security, and AI-readiness in order to design and recommend solutions
  • Document current and future architectural patterns, including AI integration patterns, model lifecycle considerations, data governance, observability, and responsible AI guardrails
  • Communicate complex AI, data, and architecture concepts clearly to technical and cross-functional colleagues
  • Define reference architectures for AI-enabled capabilities, including data ingestion, retrieval-augmented generation, model integration, inference services, monitoring, and human-in-the-loop workflows
  • Promote responsible AI practices, including privacy, security, explainability, bias mitigation, regulatory awareness, and appropriate use of enterprise data
  • Guide teams in the effective use of AI-assisted engineering tools to improve productivity, code quality, documentation, testing, and delivery velocity

AI & Modern Engineering Focus
We're actively incorporating AI-powered capabilities into our platform, and you'll help shape how this is done responsibly and effectively in an enterprise environment. This includes:
  • Integrating LLMs and AI services into .NET- and Python-based systems
  • Designing and implementing AI-assisted workflows, copilots, or intelligent automation features
  • Working with agentic AI patterns (e.g., task orchestration, tool-using agents, workflow automation)
  • Applying prompt engineering, evaluation techniques, and guardrails to ensure reliability and compliance
  • Collaborating with data and platform teams to operationalize AI-not just prototype it

Deep ML expertise is not required-we're looking for strong engineers who understand how to apply AI capabilities in real products.
Take the first step toward your dream career. Here is what we are looking for in this role.
Qualifications
  • 10+ years in web application development, service-oriented architecture, cloud-native platforms, and AI-enabled application design preferred
  • 10+ years in full-stack enterprise application development roles, with experience integrating AI, automation, analytics, or data-driven capabilities preferred
  • 10+ years leading Software Engineering teams, including mentoring architects and engineers on AI adoption, architectural trade-offs, and modern delivery practices preferred

Professional Skills
  • Demonstrate ability to evaluate new technologies, including AI platforms and frameworks, and present comparative analysis of benefits, risks, costs, and implementation considerations
  • Strong problem-solving abilities
  • Excellent written and verbal communication skills
  • Ability to influence technical strategy across product, engineering, security, data, and business stakeholders while advocating for responsible and practical AI adoption

Technical Skills
  • Mastery level of software architecture and design, with strong understanding of AI-enabled system design patterns
  • Deep understanding of Microsoft .NET and modern application integration patterns for AI-enabled services
  • Expert level in relational and non-relational database design, data modeling, and data architecture for analytics and AI use cases
  • Experience with enterprise applications in a SaaS Cloud Environment (AWS, Azure, etc.), including scalable deployment patterns for AI, ML, and data-intensive workloads
  • Knowledge of AWS products and deployment, with familiarity in cloud AI services, model hosting, automation, monitoring, and secure integration patterns
  • Familiarity with AI/ML concepts such as model lifecycle management, prompt engineering, retrieval-augmented generation, evaluation frameworks, observability, and MLOps practices
  • Understanding of responsible AI, enterprise data protection, privacy, security, compliance, and governance considerations for production AI systems

AI Use Statement
Employees are expected to appropriately leverage company-approved AI tools to improve productivity and quality while adhering to company policies, protecting confidential information, validating AI-generated content, and exercising sound professional judgment. AI is intended to augment-not replace-professional judgment, critical thinking, accountability, and decision-making. Accountability for all work remains with the employee.
Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours!
eClinical is a winner of the 2025 Top Workplaces USA Award for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards celebrating our exceptional company vision, values, and work-life balance. See all the details here: https://topworkplaces.com/company/eclinical-solutions/
eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here!
We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.
#LI-AB1
Pay Range
US Pay Ranges
$168,000-$210,000 USD