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Workflow Automation Jobs in Massachusetts (NOW HIRING)

Leader Bank

Full Stack Developer

Arlington, MA · On-site

$65.85 - $82.32/hr

Identify opportunities to improve business processes through automation, workflow optimization, and modern application design. * Apply practical AI literacy to software development, including ...

Moderna, Inc.

Sr. Automation Engineer

Norwood, MA · On-site

$117K - $154K/yr

Design and implement automation strategies for cell handling workflows (e.g., maintenance, passaging, transfection, assay execution) to ensure reproducibility and assay integrity at scale * Own ...

Moderna Therapeutics

Sr. Automation Engineer

Norwood, MA · On-site

$117K - $154K/yr

Design and implement automation strategies for cell handling workflows (e.g., maintenance, passaging, transfection, assay execution) to ensure reproducibility and assay integrity at scale * Own ...

Motion Recruitment

Lead Data Scientist

Boston, MA · Remote

... workflow automation systems. This is a highly visible opportunity for someone who wants to shape the future of enterprise AI. You'll help define AI strategy, lead the design of next-generation ...

Synapse SEM

AI/Automation Engineer

Boston, MA · On-site

$140 - $200/hr

Design and implement backend systems that automate marketing workflows, including search intelligence tracking, competitor monitoring, reporting automation, and operational tooling. * Data ...

AQUA Information Systems, Inc.

Azure Architect

Boston, MA · On-site

$69 - $90/hr

Understanding of Business Rules Engine and workflow automation. Experience with Azure DevOps, GitHub, and CI/CD pipelines. Excellent problem-solving and debugging skills. Strong communication and ...

3B Staffing LLC

Lead AI Automation Engineer

Boston, MA · Remote

Lead automation for full end-to-end AWS workflows (events, data, integrations) * Integrate and maintain automated quality gates in CI/CD pipelines * Use AI tools to accelerate development and teach ...

3B Staffing LLC

Lead AI Automation Engineer

Boston, MA · Remote

Lead automation for full end-to-end AWS workflows (events, data, integrations) * Integrate and maintain automated quality gates in CI/CD pipelines * Use AI tools to accelerate development and teach ...

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All JobsWorkflow Automation JobsWorkflow Automation Jobs in Massachusetts

Workflow Automation information

See Massachusetts salary details

$41K

$49.8K

$77.5K

How much do workflow automation jobs pay per year?

As of Sep 5, 2026, the average yearly pay for workflow automation in Massachusetts is $49,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,900.00 and $45,900.00 per year, depending on experience, location, and employer.

What is a workflow automation?

A Workflow Automation job involves designing, implementing, and optimizing automated processes to improve efficiency and reduce manual effort. Professionals in this role use automation tools, scripts, and software to streamline business workflows, ensuring tasks are completed accurately and on time. They collaborate with teams to identify repetitive processes, integrate automation solutions, and troubleshoot any issues that arise. This role requires knowledge of automation platforms, process mapping, and basic coding or scripting. The goal is to enhance productivity, minimize errors, and improve overall business operations.

What does a workflow automation do?

Professionals in Workflow Automation spend their days analyzing existing business processes, identifying opportunities for automation, and designing optimized workflows. They regularly collaborate with stakeholders from different departments to understand requirements, configure automation solutions, and troubleshoot any issues that arise. Additionally, workflow automation specialists test and update automated processes to ensure alignment with business goals and compliance standards. The role is dynamic and requires balancing technical tasks with ongoing communication and project management to achieve measurable improvements in efficiency.

What are the key skills and qualifications needed to thrive in workflow automation?

To thrive in Workflow Automation, you need a strong understanding of business processes, analytical thinking, and experience with process mapping. Familiarity with tools like UiPath, Blue Prism, Microsoft Power Automate, and certifications in RPA or BPM platforms are often required. Excellent problem-solving, communication, and collaboration skills help you liaise across departments and drive successful automation projects. These skills ensure streamlined workflows, efficient teamwork, and maximum impact from automation initiatives.

What are the most commonly searched types of Workflow Automation jobs in Massachusetts?

The most popular types of Workflow Automation jobs in Massachusetts are:

What are popular job titles related to Workflow Automation jobs in Massachusetts?

For Workflow Automation jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Workflow Automation jobs in Massachusetts look for?

The top searched job categories for Workflow Automation jobs in Massachusetts are:

Workflow Automation jobs near you
Infographic showing various Workflow Automation job openings in Massachusetts as of August 2026, with employment types broken down into 1% Internship, 94% Full Time, 2% Part Time, and 3% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $49,753 per year, or $23.9 per hour.

Lead Data Scientist

Motion Recruitment Partners, LLC

Boston, MA • On-site

Other

Re-posted 4 days ago

Job description


Join a cutting-edge AI Platform team as a Lead Data Scientist in a 6-month remote contract-to-hire opportunity. You'll provide technical leadership while driving the development of enterprise-scale AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, NLP, machine learning, and distributed AI architectures to support complex research, document intelligence, and workflow automation systems.
This is a highly visible opportunity for someone who wants to shape the future of enterprise AI. You'll help define AI strategy, lead the design of next-generation intelligent systems, and partner across engineering, product, and business teams to bring advanced AI capabilities into production.
Contract Duration: 6 Months (Contract-to-Hire)
Required Skills & Experience
Bachelor's degree required; Master's degree preferred
8+ years of experience in Data Science, Machine Learning, Applied AI, or related fields
Strong experience with Large Language Models (LLMs) and Generative AI applications
Hands-on experience designing and deploying Retrieval-Augmented Generation (RAG) systems
Expertise in machine learning, NLP, and information retrieval techniques
Experience building and deploying production AI/ML systems at scale
Strong Python programming skills
Experience working with distributed systems and cloud-based AI environments
Deep understanding of agentic AI architectures and autonomous workflows
Proven ability to lead technical initiatives and influence AI strategy
Excellent communication, stakeholder management, and problem-solving skills
Desired Skills & Experience
Experience leading enterprise-scale AI platform initiatives
Familiarity with vector databases and semantic search technologies
Knowledge of legal, regulatory, or document-intensive data environments
Experience with model evaluation, monitoring, governance, and optimization
Exposure to workflow automation and intelligent agent frameworks
Experience mentoring Data Scientists and Machine Learning Engineers
Advanced degree in Data Science, Computer Science, Machine Learning, or a related field
What You Will Be Doing
Tech Breakdown
40% LLMs, RAG, and Generative AI
25% Machine Learning & NLP
20% Agentic AI & Intelligent Automation
15% Technical Leadership & AI Strategy
Daily Responsibilities
65% Hands On
15% Leadership & Mentorship
20% Team Collaboration
You'll lead the design and deployment of advanced AI systems, establish best practices for AI development, mentor team members, collaborate with leadership on AI strategy, and drive the adoption of LLMs, RAG, and agentic AI technologies across enterprise-scale platforms.

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