Software Architect Jobs in Massachusetts
Software Architect jobs in Massachusetts are among the most actively posted in the country, concentrated in enterprise software, financial technology, life sciences platforms, and defense systems, with openings from mid-level up through principal and distinguished architect levels. The heaviest hiring is in Greater Boston, Cambridge, and the Route 128 corridor, where employers like Fidelity Investments, Raytheon Technologies, and MathWorks maintain large, permanent engineering organizations. The most in-demand specialties are cloud-native architecture, microservices design, and enterprise integration across heavily regulated industries. Find a role that fits below and apply directly.
Find Software Architect JobsOverview
Showing 5 of 8+ Software Architect jobs
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.
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.
Pay Range
US Pay Ranges $168,000 - $210,000 USD
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.
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.
Pay Range
US Pay Ranges $168,000 - $210,000 USD
See All 8 Software Architect Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Software Architect JobsSoftware Architect Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Software Architect Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Manufacturing
- Technology & Software
- Electronics & Hardware
What Massachusetts Employers Look For
The qualifications that appear most often in software architect jobs across Massachusetts.
- Bachelor's or master's degree in computer science, software engineering, or a related field
- Eight or more years of software engineering experience with at least three in architecture roles
- Deep proficiency in cloud platforms such as AWS, Azure, or Google Cloud
- Demonstrated experience designing distributed, microservices-based, or event-driven systems
- Strong background in system design, API architecture, and enterprise integration patterns
- Ability to lead cross-functional engineering teams and communicate architecture decisions to stakeholders
Software Architect Jobs in Massachusetts: Frequently Asked Questions
How do you become a software architect in Massachusetts?
Software architect is not a state-licensed profession in Massachusetts, so there is no required board exam or registration. The typical path starts with a computer science or software engineering degree, followed by several years as a software engineer before moving into architecture roles. Many Massachusetts employers, particularly in finance and defense, value AWS, Azure, or Google Cloud certifications. A portfolio of system design decisions and leadership experience carries the most weight in local hiring.
How much do software architects make in Massachusetts?
Software architects in Massachusetts earn a median of about $165,210 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $102,810 for the lowest 10% to over $213,970 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire software architects in Massachusetts?
Employers hiring software architects in Massachusetts right now include Bose, Staples, and Schneider Electric, based on current listings on Migrate Mate as of September 2026. Massachusetts's concentration of financial services firms, defense contractors, and life sciences technology companies makes it one of the more consistently active markets for senior architecture roles in the country.
Which Massachusetts cities have the most software architect jobs?
Boston, Framingham, and Lexington have the most software architect openings in Massachusetts. Greater Boston and Cambridge anchor the market through their concentration of enterprise software companies, fintech firms, and research-driven institutions, while suburban Route 128 corridor cities like Waltham and Burlington generate significant volume from the defense, biotech, and enterprise IT employers headquartered there.
Are there remote software architect jobs in Massachusetts?
Yes, and more than most fields. About 40% of software architect openings tied to Massachusetts are remote or hybrid as of September 2026, reflecting the largely desk-based, collaborative nature of the role. The work that most commonly stays fully remote includes cloud infrastructure design, API strategy, and documentation-heavy platform governance, while on-site expectations tend to apply when architects are embedded with hardware or on-premises system teams.
How can I get hired as a software architect in Massachusetts with little or no experience?
The most realistic path is entering as a senior software engineer at a large Massachusetts employer and moving into architecture through internal project leadership. Companies like Fidelity Investments and Raytheon Technologies hire associate and mid-level engineers into roles where architects are grown from within. Building a portfolio of system design proposals, contributing to open-source infrastructure projects, and earning a cloud platform certification gives candidates without a formal architecture title a credible edge when applying to Boston-area engineering teams.
Where can I find and apply to software architect jobs in Massachusetts?
You can find and apply to software architect jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings across Greater Boston, the Route 128 corridor, and beyond. Find roles that fit your experience and apply directly to the ones that match.
See All 8 Software Architect Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Software Architect Jobs