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Remote Systems Architect Jobs in Boston, MA (NOW HIRING)

Tufin

AI System Architect - US

Boston, MA · On-site +1

Develop and maintain reference architectures, design patterns, and the AI architecture decision log that governs how AI models connect to enterprise systems and what they are permitted to do

Atria Group LLC

Dot Net Lead / Architect

Boston, MA · Remote

System Architect Sr. .Net/C# resource with 10+ years' experience minimum 3 years mobile development ... remote Positions: 1 & Immediate interviews and offer 50%-100% travel on-site to Boston, MA with ...

Namyan LLC

Java Solution Architect - Remote

Boston, MA · Remote

$60 - $62/hr

Java Solution Architect Duration: 12 Months Work: Remote Summary: We are seeking an experienced ... The ideal candidate will have a proven track record of architecting distributed systems, guide ...

Cartesian

Business Process Architect

Boston, MA · On-site +1

$100K - $140K/yr

USA - Remote Compensation: $100,000 - $140,000 / year Description About Cartesian Cartesian is a ... Analyze business and technical artifacts to synthesize end-to-end process and system flows.

Zinier

Solution Architect, US (Remote)

Boston, MA · Remote

$64.50 - $85/hr

We are a remote-first, global team headquartered in Silicon Valley, with a hybrid workforce across ... Experience in Field Service Management is a must, particularly in defining system specifications ...

Tiger Analytics Inc.

Data Architect

Westwood, MA · Remote

$71.25 - $91.75/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... This role will help clients modernize their technology landscape, optimize legacy systems, and ...

Axiom

Salesforce Technical Lead (Remote)

Boston, MA · On-site +1

$75 - $93/hr

  • Medical

  • Life

  • Retirement

  • PTO

Enterprise Applications Architect 1, Remote About Axiom: As the leading alternative legal services ... Architect and maintain integrations between Salesforce and enterprise systems via Boomi middleware ...

Exemplar Companies

Senior Solutions Architect

Boston, MA · Remote

$130K - $160K/yr

Remote - United States Job Type: Full-Time, Permanent About Exemplar Companies Exemplar Companies ... Monitor system performance and oversee the resolution of technical issues. Client Engagement * Lead ...

INFOTRON

Workday Solutions Architect

Boston, MA · Remote

$100K - $120K/yr

Remote We are seeking an experienced Workday Solutions Architect to lead the design, implementation ... Recommend process improvements and system enhancements. Required Qualifications: * 7+ years of ...

Allied Universal

Solutions Architect

Wilmington, MA · On-site +1

$80K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... remote access standards * Maintain technical documentation, architecture standards, and quality ... Knowledge of access control, video management systems (VMS), intrusion detection, life safety ...

Akamai Technologies, Inc

Senior Architect

Cambridge, MA · On-site +1

$169K - $304K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Are you an architect who enjoys working at scale? Are you up to the task of architecting a cutting ... Join the Network Operations Systems Group Our team develops innovative solutions crucial to ...

New

Tiger Analytics Inc.

Data Architect

Boston, MA · Remote

$69.25 - $89/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... This role will help clients modernize their technology landscape, optimize legacy systems, and ...

Booz Allen Hamilton, Inc.

Solution Architect

Lexington, MA · On-site +1

$70.75 - $93.25/hr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Yes Job Number: R0234725 Location: Hanscom AFB,MA,US Share job via: Share Additional ... Experience on a large defense program or with a major systems integrator, including delivering ...

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Remote Systems Architect information

See Boston, MA salary details

$94K

$243.7K

$264.5K

How much do remote systems architect jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote systems architect in Boston, MA is $243,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $264,000.00 and $264,000.00 per year, depending on experience, location, and employer.

What is a remote systems architect?

Remote Systems Architects are IT professionals who design and oversee the structure of complex computer systems, networks, or software applications from a remote location. They are responsible for making high-level decisions about system architecture, ensuring that systems are scalable, secure, and meet the needs of the business. Working remotely, they collaborate with stakeholders, developers, and other IT staff through digital communication tools. Their role often involves creating architectural blueprints, selecting appropriate technologies, and providing technical guidance throughout a project’s lifecycle.

How do remote systems architects typically collaborate with cross-functional teams when designing complex system solutions?

Remote Systems Architects often serve as a communication bridge between engineering, product, and business teams, ensuring that system designs align with both technical requirements and business objectives. Collaboration is typically facilitated through regular virtual meetings, detailed documentation, and cloud-based project management tools. Architects are responsible for leading design discussions, gathering feedback from stakeholders, and iterating on solutions to address evolving needs. This role requires strong communication skills and adaptability to effectively manage contributions from colleagues in different locations and time zones.

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

To thrive as a Remote Systems Architect, you need deep expertise in systems design, cloud infrastructure, and software architecture, typically supported by a bachelor's degree in computer science or related field. Familiarity with tools such as AWS, Azure, architecture modeling software, and relevant certifications like AWS Certified Solutions Architect are highly valued. Strong communication, problem-solving, and self-motivation are crucial soft skills for collaborating with distributed teams and clients. These skills ensure scalable, secure, and efficient system solutions while enabling effective remote teamwork and project delivery.

What is the difference between Remote Systems Architect vs Remote Network Engineer?

AspectRemote Systems ArchitectRemote Network Engineer
CredentialsTypically requires a degree in computer science or IT, plus certifications like TOGAF or AWS Certified Solutions ArchitectOften requires a degree in networking or IT, with certifications such as Cisco CCNA or CCNP
Work EnvironmentDesigns and plans overall system architecture, often in a project-based or consulting settingFocuses on configuring, maintaining, and troubleshooting network infrastructure
Industry UsageUsed across industries for system design, cloud solutions, and enterprise architecturePrimarily in telecommunications, data centers, and enterprise network management

While both roles involve IT infrastructure, a Remote Systems Architect focuses on designing comprehensive system solutions, whereas a Remote Network Engineer specializes in implementing and maintaining network hardware and connectivity. Understanding these differences helps in choosing the right career path or job search focus.

What are the most commonly searched types of Systems Architect jobs in Boston, MA?

The most popular types of Systems Architect jobs in Boston, MA are:

What are popular job titles related to Remote Systems Architect jobs in Boston, MA?

For Remote Systems Architect jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Systems Architect jobs in Boston, MA look for?

The top searched job categories for Remote Systems Architect jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Systems Architect jobs?

Cities near Boston, MA with the most Remote Systems Architect job openings:

Remote Systems Architect jobs near you

AI System Architect - US

Tufin

Boston, MA • On-site, Remote

Full-time

Re-posted 1 hour ago

Job description

Description
Tufin is standing up a governed, enterprise-scale AI program that spans ChatGPT, Claude, Workato eMCP, and a growing ecosystem of third-party AI applications. The AI System Architect is the most senior technical role in this program - the person who defines the architecture, enforces the governance model, and owns the integration surface that every AI agent in the company operates through.
This role sits inside Enterprise Technology, reporting directly to the Head of Enterprise Technology. That placement is intentional. The AI System Architect is not a researcher, a prompt engineer, or a standalone AI strategist - they are an enterprise systems leader who happens to be building at the frontier of agentic AI. They own the AI integration strategy across Tufin's core platforms (Salesforce, NetSuite, Workato, HiBob, Jira), the MCP governance model, the persona-scoped token design, and the integration patterns that connect AI capabilities to those systems without creating point-to-point dependency risk.
You will manage the AI Platform Engineer(s), set the technical standards for the AI Power User group's citizen development program, and serve as the connective tissue between business leadership, platform owners, and development teams. You will shape the multi-year AI architecture roadmap while also rolling up your sleeves to conduct architecture reviews, resolve blockers, and move use cases from concept to production. This is a role for someone who can think big and execute - and who understands that in an enterprise context, the quality of your governance is inseparable from the quality of your architecture.
What You'll Own
Strategy & Architecture
  • Define and own the enterprise AI integration strategy - identifying opportunities to embed intelligent automation, agentic workflows, predictive analytics, and generative AI capabilities across Tufin's core platforms
  • Develop and maintain reference architectures, design patterns, and the AI architecture decision log that governs how AI models connect to enterprise systems and what they are permitted to do
  • Consult on enterprise system architecture and implement best practices for the Enterprise Business Systems team to leverage in their day-to-day execution.
  • Lead Proof-of-Concept initiatives for new AI tools and platform-native AI features, evaluating them against build-vs-buy criteria before recommending adoption
  • Partner with business stakeholders to translate operational pain points into AI use cases with clear ROI framing and sequencing criteria
  • Contribute to Tufin's enterprise data strategy, ensuring AI initiatives are supported by clean, accessible, and well-governed data pipelines

Integration Architecture & Delivery
  • Design and own the Workato eMCP layer - the MCP governance model, persona-scoped token framework, workspace isolation strategy, and the single sanctioned action surface through which all AI agents write back to enterprise systems
  • Define integration patterns and standards for AI model connectivity (Claude, ChatGPT) to Salesforce, NetSuite, HiBob, and Jira - specifying what agents can read, what they can write, through which surfaces, and with what confirmation and audit requirements
  • Design and oversee API strategies, event-driven architectures, and middleware patterns that support scalable AI feature delivery - including agentic workflows, intelligent data transformation, anomaly detection, and natural language interfaces layered onto ERP and CRM data
  • Collaborate with Engineering during build phases, conducting architecture reviews, providing hands-on guidance, and resolving complex technical blockers
  • Define non-functional requirements - latency, security, auditability, model drift monitoring - for AI components embedded in mission-critical business processes
  • Establish MLOps and LLMOps practices appropriate for Tufin's enterprise environment: model versioning, observability, and rollback procedures for production AI workloads

Governance & Risk
  • Translate Tufin's AI governance framework into enforceable runtime controls: confirmation gates, role-scoped permissions, audit trails, and rate limiting across all production agents
  • Own the AI intake process - the structured gate through which new AI use cases, agent deployments, and integration requests are reviewed, approved, and sequenced
  • Lead AI impact assessments for enterprise use cases, accounting for data privacy, regulatory compliance (GDPR, SOC 2, and applicable industry mandates), and responsible AI principles
  • Partner with Tufin's Security and Compliance teams and AI Governance Committee to define guardrails for agents operating with write access to critical systems - including human-in-the-loop checkpoints and audit trail requirements
  • Define the promotion criteria that citizen-built recipes must meet before the AI Platform Engineer can approve them for production, and hold that bar consistently across all value streams
  • Monitor for shadow AI and unauthorized usage - and treat its presence as an architectural signal, not just a policy violation

Team Leadership & Citizen Development
  • Manage and mentor the AI Platform Engineer(s) - setting technical direction, reviewing their work, and creating space for them to grow into the program's complexity
  • Set the technical standards and guardrails for the AI Power User group's citizen development program - defining what Power Users can build, on which platforms, with what approvals required before production promotion
  • Run architectural reviews for high-complexity citizen-built workflows and serve as the escalation point when the Platform Engineer identifies patterns outside established standards
  • Actively prevent shadow AI from taking root - not by blocking access, but by making the governed path so well-designed that it has no serious competition

Strategic Technical Leadership
  • Advise the Head of Enterprise Technology on AI integration strategy, platform evolution, and technology decisions as the enterprise AI tooling market continues to shift rapidly
  • Evaluate and recommend third-party AI tooling, LLM providers, and platform-native AI features - maintaining awareness of MCP ecosystem developments, Workato's AI platform roadmap, and the capabilities of the AI models Tufin has deployed
  • Maintain documentation standards and AI architecture protocols that satisfy both engineering teams and enterprise architecture review processes
  • Contribute to Tufin's AI governance framework as a living document, revising and extending it as new agent capabilities, regulatory signals, and organizational needs emerge

Requirements
What You Bring
Required
  • 8+ years of experience in enterprise solutions architecture, systems integration, or a closely related discipline - with a strong track record of designing and delivering production-grade integration platforms at scale
  • Deep hands-on expertise with Workato or a comparable enterprise iPaaS platform (MuleSoft, Boomi, Azure Integration Services) - including workspace design, governance configuration, and operational management
  • Demonstrated experience building and integrating across CRM (Salesforce preferred), ERP (NetSuite preferred), and iPaaS platforms at the enterprise level - in production, not just proof-of-concept
  • Hands-on experience designing or deploying AI/ML features in production enterprise environments - including at least one of: agentic AI systems, LLM-powered workflows, predictive analytics, or intelligent document processing
  • Strong command of integration patterns: REST/GraphQL APIs, event streaming, ETL/ELT pipelines, webhook-based automation, and API security best practices
  • Experience designing and enforcing integration governance: access control models, audit logging, approval workflows, and token management
  • Familiarity with Model Context Protocol (MCP) or direct experience connecting AI models to enterprise systems in a production context
  • Proven ability to lead distributed technical teams and communicate architecture clearly to both executive sponsors and engineering teams - you can hold a technical standard without becoming a bottleneck
  • Experience with the requisite AI-related Audit Management frameworks (ISO42001, ISO27001, SOC 2, etc.)

Preferred
  • Hands-on experience with Workato's AI Hub and/or eMCP enterprise connector offerings
  • Experience with vector databases, RAG (retrieval-augmented generation) architectures, or fine-tuning workflows in an enterprise data context
  • Working knowledge of AI governance frameworks (NIST AI RMF, EU AI Act considerations), privacy controls, and secure SDLC practices
  • Relevant certifications in cloud platforms (AWS, Azure, GCP) or enterprise platforms (Salesforce, NetSuite, Workato)
  • Experience designing citizen development programs - defining guardrails, review processes, and promotion criteria for non-engineer builders
  • Background in network security, cybersecurity, or compliance-adjacent enterprise environments - familiarity with Tufin's domain is a meaningful advantage
  • Experience in a regulated industry (financial services, healthcare, or manufacturing) where AI governance requirements are non-negotiable

How You Lead
  • You design for the long run - your architectures are opinionated enough to prevent sprawl and flexible enough to absorb what comes next
  • You govern by making the right path easy, not by making the wrong path hard - the best control is one that people follow because it serves them
  • You can hold a technical position in a room of non-technical executives and explain why it matters without losing either the nuance or the audience
  • You review other people's work with the same rigor you apply to your own - and you give feedback that makes people better, not just feedback that makes things compliant
  • You treat shadow AI as a design failure, not a user problem - if the governed path isn't being used, that's an architectural signal worth investigating
  • You think big and execute - strategy and hands-on delivery are not separate modes for you
  • You flag risks early, document decisions thoroughly, and operate with the understanding that the choices you make now will be someone else's production system for years

Apply