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

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Senior AI/Automation Engineer

Boston, MA · On-site

$113K - $148K/yr

... GenAI platforms. The ideal candidate brings hands-on experience operationalizing LLMs at scale, deep understanding of modern SDLC practices, and a strong bias toward automation, governance, and ...

Hasbro

Automation Engineer

Boston, MA

The Automation Engineer sits in the Power Platform space and is responsible for designing, building, and supporting business process automation solutions using the Microsoft Power Platform. This role ...

Hasbro

Automation Engineer

Boston, MA · On-site

The Automation Engineer sits in the Power Platform space and is responsible for designing, building, and supporting business process automation solutions using the Microsoft Power Platform. This role ...

Blitzy

Automation Engineer

Cambridge, MA · On-site

$120 - $145/hr

Automation Engineer About Blitzy Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom ...

Blitzy

Automation Engineer

Cambridge, MA · On-site

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle. The Automation Engineer will own, extend, and scale automated ...

RepliGen Corporation

Automation Engineer II

Bridgewater, MA · On-site

$111 - $150/hr

Program, configure, modify, and support automation platforms including Allen-Bradley RSLogix 500 ... Review, interpret, and reverse-engineer automation code, control logic, system architecture, and ...

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

Platform Automation Engineer information

See Boston, MA salary details

$40.2K

$116.4K

$177.1K

How much do platform automation engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for platform automation engineer in Boston, MA is $116,382.00, 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 a platform automation engineer?

A Platform Automation Engineer is a technology professional who focuses on designing, developing, and maintaining automated systems and tools that streamline the management and deployment of software platforms. Their work often includes creating scripts, implementing infrastructure as code, automating workflows, and ensuring the reliability and scalability of IT environments. These engineers collaborate with development, operations, and QA teams to improve efficiency, reduce manual intervention, and support continuous integration and delivery pipelines.

What are the key skills and qualifications needed to thrive as a platform automation engineer?

To thrive as a Platform Automation Engineer, you need strong programming skills (typically in Python, Bash, or similar languages), experience with infrastructure-as-code, and a solid understanding of cloud platforms, often supported by a degree in computer science or related fields. Familiarity with tools like Terraform, Ansible, Jenkins, and container orchestration systems (e.g., Kubernetes) is usually required, along with relevant cloud certifications. Excellent problem-solving abilities, collaboration, and effective communication are essential soft skills that set top candidates apart. These competencies enable efficient, reliable automation of infrastructure and deployment processes, ensuring scalability and operational excellence.

What are some typical challenges platform automation engineers face when integrating new automation tools into existing infrastructure?

Platform Automation Engineers often encounter challenges such as ensuring compatibility between new automation tools and legacy systems, minimizing downtime during integration, and maintaining security standards. They must also collaborate closely with development, operations, and security teams to align automation solutions with organizational workflows. Staying adaptable and proactive in solving unforeseen integration issues is key to success in this dynamic environment.

What is the difference between Platform Automation Engineer vs DevOps Engineer?

AspectPlatform Automation EngineerDevOps Engineer
CredentialsTypically requires certifications in cloud platforms, scripting, and automation toolsOften holds certifications in cloud, CI/CD, and scripting as well
Work EnvironmentFocuses on automating platform infrastructure, often within cloud or data center environmentsWorks across development and operations teams to streamline deployment and integration
Employer & IndustryUsed in cloud service providers, tech companies, and enterprises with large infrastructureCommon in software development, IT, and tech industries emphasizing continuous delivery

While both roles involve automation and cloud technologies, a Platform Automation Engineer primarily focuses on automating infrastructure and platform services, whereas a DevOps Engineer integrates development and operations processes to improve deployment and system reliability.

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

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

Platform Automation Engineer jobs near you

AI Automation Engineer

Saim Technologies

Northborough, MA • On-site

Other

Posted 3 days ago

New

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

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