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Ai Automation Engineer Jobs in Boston, MA (NOW HIRING)

1 point system

Senior AI/Automation Engineer

Boston, MA · On-site

$113K - $148K/yr

Requirement - Senior AI/Automation Engineer Location- Boston, MA and Minneapolis, MN(4 days a week on-site) Mode of Interview : 3 rounds, all virtual Contract W2 We are seeking a Senior AI Automation ...

Synapse SEM

AI/Automation Engineer

Boston, MA · On-site

$150 - $200/hr

As the AI/Automation Engineer at Synapse Labs , you will design and build the systems that power our internal automation and marketing intelligence initiatives. Your work will eliminate manual ...

WorkHero

AI Automation Engineer

Cambridge, MA · On-site +1

WorkHero is building the AI-powered back office for the skilled trades, starting with the $50B+ HVA ... As our product continues to advance, the reach of each automation engineer multiplies and the scope ...

Later

Senior AI Automation Engineer

Boston, MA · On-site +1

$113K - $148K/yr

About this position: We're hiring an AI Automation Engineer to embed across teams at Later, Operations, Finance, Marketing, Customer Success, and beyond, and replace manual, repetitive work with ...

Hasbro

Automation Engineer

Boston, MA · On-site

The Automation Engineer sits in the Power Platform space and is responsible for designing, building ... AI & Copilot Solutions * Design and deploy conversational agents and AI-powered workflows using ...

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All JobsAi Automation Engineer JobsAi Automation Engineer Jobs in Boston, MA

Ai Automation Engineer information

See Boston, MA salary details

$40.2K

$116.4K

$177.1K

How much do ai automation engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for ai automation engineer in Boston, MA is $116,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $134,200.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

Is AI automation engineer in demand?

AI automation engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

What are popular job titles related to Ai Automation Engineer jobs in Boston, MA?

For Ai Automation Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Ai Automation Engineer jobs in Boston, MA look for?

The top searched job categories for Ai Automation Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Ai Automation Engineer jobs?

Cities near Boston, MA with the most Ai Automation Engineer job openings:

Ai Automation Engineer jobs near you
Infographic showing various Ai Automation Engineer job openings in Boston, MA as of September 2026, with employment types broken down into 1% Internship, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $116,376 per year, or $56 per hour.

AI Automation Engineer

Saim Technologies

Northborough, MA • On-site

Other

Posted 4 days ago

Job description

Job Title: AI Automation Engineer
Location: Northborough, MA (Onsite)

Job Summary:
We are seeking an experienced AI Automation Engineer to design, develop, and implement AI-driven automation solutions across Digital Workplace Services. The role will focus on leveraging Generative AI, Microsoft Copilot, Copilot Studio, Azure OpenAI, Power Platform, automation technologies, and intelligent virtual agents to enhance employee experience, optimize IT operations, improve service desk efficiency, and enable autonomous workplace support capabilities. This aligns with Digital Workplace Services initiatives such as AI-powered service desks, intelligent collaboration, agentic AI, and workplace

Key Responsibilities:
Design and implement AI-powered workplace automation solutions.
Develop intelligent virtual assistants, chatbots, and AI agents using Microsoft Copilot Studio and Azure OpenAI.
Build Agentic AI workflows for autonomous task execution and IT support automation.
Integrate AI solutions with ITSM platforms, collaboration tools, and enterprise applications.
Develop workflow automations using Power Platform, APIs, and orchestration frameworks. Digital Workplace Transformation
Drive adoption of AI-powered Digital Workplace solutions.
Implement intelligent employee self-service solutions.
Enhance productivity through Copilot-enabled workflows.
Improve workplace experience with AI-driven support and knowledge management. Service Desk Automation
Develop AI solutions for: o Ticket summarization o Automated ticket classification o Knowledge article generation o Self-healing automation o Intelligent incident routing o Virtual support assistants
Reduce manual effort through automation and predictive support capabilities. Integration & Development
Integrate AI platforms with: o ServiceNow o Microsoft 365 o Teams o SharePoint o Power Platform o Azure Services o Enterprise applications
Develop APIs and connectors for seamless data exchange. Governance & AI Operations
Establish Responsible AI practices.
Ensure compliance with security, privacy, and governance requirements.
Monitor AI solution performance and optimize models.
Support AI lifecycle management and operational excellence.

Required Technical Skills:
AI & GenAI Azure OpenAI Services GPT / LLM Models RAG (Retrieval Augmented Generation) Prompt Engineering AI Agents & Agentic AI Semantic Kernel LangGraph / LangChain Microsoft Technologies Microsoft Copilot Copilot Studio Power Automate Power Apps Microsoft Teams SharePoint Online Microsoft Graph API Azure AI Services Automation & Development Python PowerShell REST APIs JSON Workflow Automation GitHub Copilot Cloud & Infrastructure Microsoft Azure Azure Functions Logic Apps Azure AI Foundry Azure DevOps ITSM & Workplace Technologies ServiceNow Endpoint Management Microsoft Intune Autopilot Knowledge Management Platforms

Skill Requirements:
Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Power Platform Developer Associate
Microsoft Copilot Certification
ServiceNow Certified System Administrator
Azure Solutions Architect Certification
Soft Skills:
Strong analytical and problem-solving skills.
Excellent stakeholder management.
Ability to communicate technical concepts to business users.
Innovation mindset and continuous learning attitude.
Experience leading AI transformation initiatives.

Nice-to-Have Experience:
Digital Workplace Services Operations
Employee Experience Platforms
AI-Powered Service Desk
Workplace Analytics
Experience Management (XLAs)
Intelligent Collaboration Solutions
Enterprise AI Transformation Programs

Apply