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Remote Workflow Automation Jobs in Springfield, MA

Knak Digital

AI Engineer

Becket, MA · Remote

$130K - $150K/yr

Remote (US only) Compensation: $130,000 to $150,000 Must be authorized to work in the US and obtain ... workflow automation * Evals and observability so the team knows what is working in production and ...

Archgroup

AVP, AI Engineering (Remote - EST)

Hartford, CT · Remote

$185K - $235K/yr

Our missionis broad: agentic automation, decision support, AI-driven insights, and the platform ... workflows - to deliver underwriting and claims automations end-to-end. This role sits at the seam ...

Archgroup

AVP, AI Engineering (Remote - EST)

Hartford, CT · Remote

$185K - $235K/yr

Our missionis broad: agentic automation, decision support, AI-driven insights, and the platform ... workflows - to deliver underwriting and claims automations end-to-end. This role sits at the seam ...

The Hartford

AVP, Software Engineering Lead

Hartford, CT · On-site +1

$255K/yr

... workflows, and AIfirst engineering capabilities, partnering closely with Data & AI, Product ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

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All JobsRemote Workflow Automation JobsRemote Workflow Automation Jobs in Springfield, MA

Remote Workflow Automation information

See Springfield, MA salary details

$36.9K

$106.8K

$162.4K

How much do remote workflow automation jobs pay per year?

As of Jun 28, 2026, the average yearly pay for remote workflow automation in Springfield, MA is $106,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,200.00 and $123,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Workflow Automation Specialist, and why are they important?

To thrive as a Remote Workflow Automation Specialist, you need strong analytical skills, process optimization experience, and a background in IT or business process management. Familiarity with automation tools like Zapier, Microsoft Power Automate, or UiPath, as well as relevant certifications, is typically required. Excellent communication, problem-solving, and self-management skills distinguish top performers in remote environments. These competencies enable efficient process streamlining, effective team collaboration, and successful automation project delivery from any location.

What are some common challenges faced when managing workflow automation remotely, and how can they be addressed?

One common challenge in remote workflow automation roles is ensuring seamless communication and coordination across distributed teams, especially when automating processes that involve multiple departments. It's important to establish clear documentation, standardized procedures, and regular check-ins to keep everyone aligned. Additionally, remote professionals must be proactive in monitoring automated workflows for errors or inefficiencies, often requiring robust reporting tools and strong troubleshooting skills. Leveraging collaborative platforms and fostering a culture of transparency can help overcome these challenges and ensure smooth automation projects.

What is remote workflow automation?

Remote workflow automation refers to the use of technology and software tools to automate business processes and tasks that can be managed from any location. This approach helps organizations streamline operations, reduce manual effort, and improve efficiency, especially for distributed or remote teams. By automating repetitive tasks, businesses can focus on higher-value work and maintain productivity regardless of team members' physical locations. Tools like Zapier, Microsoft Power Automate, and others are commonly used to set up these automated workflows.

What is the difference between Remote Workflow Automation vs Remote Business Analyst?

AspectRemote Workflow AutomationRemote Business Analyst
Required CredentialsTechnical certifications (e.g., RPA tools, scripting)Business analysis certifications (e.g., CBAP, PMI-PBA)
Work EnvironmentFocus on automation tools, scripting, and process optimizationFocus on requirements gathering, process analysis, and stakeholder communication
Employer & Industry UsageTech companies, automation service providers, large enterprisesConsulting firms, finance, healthcare, and corporate sectors
Search & Comparison IntentAutomation, RPA, process improvementBusiness processes, requirements analysis, project management

Remote Workflow Automation specialists focus on implementing automation tools and scripting to streamline processes, often requiring technical certifications. Remote Business Analysts analyze business needs, gather requirements, and communicate with stakeholders. While both roles improve efficiency, they differ in technical depth and focus areas, with automation roles being more technical and analysis roles more strategic.

What are popular job titles related to Remote Workflow Automation jobs in Springfield, MA? For Remote Workflow Automation jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Remote Workflow Automation jobs in Springfield, MA look for? The top searched job categories for Remote Workflow Automation jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Remote Workflow Automation jobs? Cities near Springfield, MA with the most Remote Workflow Automation job openings:
Remote Workflow Automation jobs near you

AI Engineer

Knak Digital

Becket, MA • Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago

Job description

AI Engineer Location: Remote (US only)

Compensation: $130,000 to $150,000

Must be authorized to work in the US and obtain a Public Trust Clearance.

A small, technical digital services firm working with federal and commercial clients is hiring an AI Engineer to build and ship production-grade applications powered by large language models.

This is a hands-on engineering role. You will design agentic systems, build MCP servers and clients, maintain RAG pipelines, and write the Python backends that expose AI capabilities to real users, including senior government stakeholders. You will also help shape how the organization adopts generative AI responsibly across an active client portfolio.

This is not a research role. No foundation model training. You will be designing and shipping systems that people depend on, and you will have a direct voice in how that gets done.

What you will build:

  • Multi-step agents that plan, call tools, retrieve context, and take action with human-in-the-loop checkpoints
  • MCP servers and clients that securely connect models to client data, internal tools, and APIs
  • RAG pipelines covering chunking, embeddings, vector stores, retrieval, reranking, and grounding
  • LLM-powered features including copilots, document intelligence, search, summarization, and workflow automation
  • Evals and observability so the team knows what is working in production and what is regressing

What you need:

  • 5 or more years of professional software engineering experience, with at least 1 year shipping LLM-based or AI-powered features to production
  • Hands-on experience designing or building agentic systems using tool calling, multi-step reasoning, planning loops, or agent orchestration (LangGraph, CrewAI, OpenAI Agents SDK, Claude tool use, or equivalent)
  • Working knowledge of MCP or demonstrated ability to pick it up quickly
  • Strong Python and experience building and deploying backend services and APIs (FastAPI, Flask, or similar)
  • Experience with at least one major LLM provider: OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex, or open-weight models
  • Working knowledge of RAG: embeddings, vector databases (pgvector, Pinecone, Weaviate, Qdrant, or similar), and retrieval evaluation
  • Comfort with prompt engineering, structured outputs, and tool/function calling
  • Experience writing evals for non-deterministic systems
  • Solid SQL and comfort with relational and unstructured data
  • Familiarity with at least one cloud platform: AWS, Azure, or GCP
  • Strong written communication -- you can explain AI tradeoffs to non-technical stakeholders

Nice to have:

  • Experience authoring MCP servers for non-trivial systems
  • Eval and observability platform experience (Braintrust, LangSmith, Langfuse, Arize, or custom)
  • Multi-agent orchestration and experience reasoning about agent failure modes
  • Fine-tuning, distillation, or LoRA experience
  • Docker, Kubernetes, and CI/CD for AI workloads
  • TypeScript/Node for full-stack AI features
  • Background supporting federal or government clients
  • Awareness of NIST AI RMF, FedRAMP, or related responsible AI frameworks

Requirements:

  • Must be a US citizen or legal resident, able to work domestically
  • Must be able to attain a low-level security clearance

Benefits:

  • Medical insurance (Aetna, Anthem, UnitedHealthcare, Kaiser, and more)
  • Dental insurance (Aetna, Delta Dental, Guardian, MetLife)
  • Vision insurance (Aetna/EyeMed, VSP)
  • Health Savings Account (HSA)
  • Life and AD&D insurance (MetLife)
  • Short-Term and Long-Term Disability (The Hartford)
  • Employee Assistance Program (EAP)
  • Health Advocate
  • Commuter Benefits (HealthEquity)
  • Voluntary benefits (Aflac, MetLife Pet, Legal Services, DIGI, Farmers auto/home)
  • 401K

All interviews will be conducted through video.