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Remote Ea Jobs in Springfield, MA (NOW HIRING)

Remote Tax Manager

Stafford, CT · Remote

$150K - $170K/yr

Remote Tax Manager Job ID: 1050602 Date Posted: May 29, 2026 Employment Type: Full-time (W2) Hiring ... Active CPA, EA, JD, or LLM in Tax. * Technical Expertise: Deep knowledge of business taxation, pass ...

Remote Ea information

See Springfield, MA salary details

$36.4K

$89.5K

$183.9K

How much do remote ea jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote ea in Springfield, MA is $89,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,800.00 and $103,600.00 per year, depending on experience, location, and employer.

What is a Remote EA job?

A Remote Executive Assistant (EA) provides administrative and organizational support to executives, managers, or business owners from a remote location. Responsibilities typically include managing calendars, scheduling meetings, handling emails, making travel arrangements, and assisting with other administrative tasks. Strong communication, time management, and technical skills are essential for success in this role. Remote EAs often work as freelancers, contractors, or employees for companies that support remote work.

What are the key skills and qualifications needed to thrive in the Remote Ea position, and why are they important?

To thrive as a Remote Executive Assistant (EA), you need strong organizational skills, attention to detail, and experience supporting executives or teams, often validated by prior administrative or assistant roles. Proficiency with collaboration tools like Microsoft Office, Google Workspace, communication platforms (e.g., Slack, Zoom), and scheduling software is typically essential, with familiarity in project management tools being a plus. Outstanding time management, self-motivation, discretion, and proactive communication are soft skills that set top performers apart. These skills are crucial for efficient remote support, ensuring seamless operations, confidentiality, and effective virtual collaboration in a remote work environment.

What are some typical daily responsibilities for a Remote Executive Assistant?

As a Remote Executive Assistant, your daily responsibilities often include managing executives’ calendars, scheduling meetings across time zones, handling correspondence, and preparing travel arrangements or expense reports. You may also be asked to support project coordination, compile reports, and coordinate with internal and external stakeholders. Effective communication and the ability to prioritize tasks independently are important, as you’ll often be the go-to point of contact for busy executives. The role usually requires swift adaptation to changing priorities, maintaining confidentiality, and proactively anticipating administrative needs to keep operations running smoothly.

What job categories do people searching Remote Ea jobs in Springfield, MA look for? The top searched job categories for Remote Ea jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Remote Ea jobs? Cities near Springfield, MA with the most Remote Ea job openings:

Enterprise Solutions Architect as 100% Remote

Amicis Global

Hartford, CT • Remote

$120/hr

Contractor

Posted 19 days ago


Job description

Job Title: Enterprise Solutions Architect
Location: 100% Remote
Duration: 06 Months
Pay Rate: $100.00 - $120.00/- on W2
 
 
Kindly send me your most updated resume
 
 
Roles and Responsibilities:

Enterprise Architecture & Solution Governance (Equal Priority)

Lead and execute enterprise solution governance processes, ensuring alignment with established EA standards, reference architectures, and approved integration and security patterns.
Actively participate as a member of the Architecture Review Board (ARB), contributing to architectural decision-making, risk assessment, and solution approvals.
Establish and operate a Permit-to-Build tollgate, governing both greenfield and modernization initiatives across all Lines of Business (LOBs), including GenAI, data, and advanced analytics solutions.
Ensure all governed solutions comply with regulatory and compliance mandates (HIPAA, GDPR, SOX), with particular attention to cloud, data, and AI-driven architectures.
Lead or contribute to architecture scoring and design quality assessments, ensuring solutions meet enterprise standards for resiliency, scalability, security, and maintainability.
Partner closely with peer Enterprise Architects to assign primary assessors, review incoming initiatives, and maintain a forward-looking pipeline of governance demand.

Solution Architecture & Hands‑On Agentic AI Development (Equal Priority)

Design and implement end-to-end solution architectures, moving beyond conceptual models into executable designs and working prototypes, particularly in cloud-native and AI-driven domains.
Lead hands-on Proofs of Concept (POCs) to validate emerging technologies, platforms, and services—specifically Agentic AI patterns such as autonomous agents, task orchestration, tool-use agents, and multi-agent workflows.
Architect and build Agentic AI workflows using modern GenAI platforms, with preferred experience in:
AWS Bedrock (Agents, foundation models, orchestration, integration with AWS services), and/or
GCP Vertex AI (agents, pipelines, orchestration, model lifecycle management).
Apply strong solution architecture practices to translate business problems into AI-enabled architectures, including prompt strategies, agent memory, tool integration, event-driven triggers, and observability.
Design secure, scalable, and governed AI solutions, ensuring alignment with enterprise security, data privacy, and compliance expectations from inception through production readiness.
Collaborate with engineering teams to bridge architecture and implementation, providing reference implementations, design artifacts, and technical guidance that accelerates delivery while reducing rework.

Technology Evaluation & Innovation Enablement

Evaluate and assess new technology platforms and AI services prior to POC approval or enterprise onboarding, balancing innovation with risk management.
Drive architectural clarity around GenAI, Agentic AI, and emerging cloud-native patterns, ensuring these innovations are introduced responsibly within enterprise guardrails.
Contribute to reference architecture evolution, especially for AI-enabled, event-driven, and cloud-native solutions.

EA Tooling, Metrics & Enablement

Define and track solution governance KPIs using the EA tool, including technology debt, reverse demand by LOB, and approval outcomes.
Support EA enablement through SharePoint, Power Automate, PowerApps, and Power BI, improving transparency, workflow efficiency, and architectural insight.

Qualifications & Experience

Architecture & Governance

8–10+ years of experience in Enterprise and Solution Architecture, including active participation in ARBs and formal governance processes.
Strong experience creating and enforcing reference architectures, standards, and patterns in regulated environments.

Solution Architecture & Hands‑On Delivery

Recent, hands-on experience designing and building solutions—not just reviewing them—particularly in cloud-native and GenAI domains.
Demonstrated experience building Agentic AI or GenAI-driven POCs, including orchestration, integration, and lifecycle considerations.
Deep knowledge of AWS and/or GCP, with architectural fluency across compute, networking, storage, databases, and AI services.

Education & Certifications

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field; MBA a plus.
Preferred certifications: TOGAF, AWS Solutions Architect, GCP Professional Architect, or equivalent.
Trying to management the existing solutions architect process
Responsible for managing, maintaining and enhancing this process
Introducing GenAI
Some GCP experience or exposure would be very useful and beneficial
 Building it in power tools - power automate, power app, powerbi (need experience with those)

What This Role Delivers

Governance with credibility: Architecture decisions informed by real, hands-on solution experience.
Faster innovation: Reduced friction between architecture intent and execution through POCs and reference implementations.
Responsible AI adoption: Agentic AI solutions that are scalable, secure, and enterprise-ready from day one.
 
 
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