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Intelligent Automation Jobs in Massachusetts (NOW HIRING)

Motion Recruitment

Lead Data Scientist

Boston, MA · Remote

... 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 ...

SevenAI

Principal Security Engineer - AI

Boston, MA · On-site

... intelligent automation. Responsibilities: * Lead the evolution of advanced AI cybersecurity defense solutions, including incident response strategies, detection engineering, automated response ...

Seven AI

Principal Security Engineer - AI

Boston, MA · On-site

$150 - $200/hr

... intelligent automation. Responsibilities * Lead the evolution of advanced AI cybersecurity defense solutions, including incident response strategies, detection engineering, automated response, threat ...

Lila Sciences

Co-Op, Next Gen Engineering

Cambridge, MA

$18.25 - $23.75/hr

... intelligent automation. * Onboard laboratory equipment onto our AISF platform by installing custom software, testing equipment processes, and ensuring seamless operation within our automated ...

Prohires

W2 - Solution Architect (Need MA Local)

Boston, MA · On-site

$68.50 - $90.25/hr

AI/ML Solutions, Intelligent Automation, IAM, Application & API Security, Secure SDLC, Data Architecture, Relational & NoSQL Databases. · Platform Reliability: Performance Engineering, Monitoring ...

Klaviyo

Lead Project Manager

Boston, MA · On-site

At Klaviyo, we are building the future of employee experience through intelligent AI, automation, and seamless system integration. The ARIA (Applications, Resources, Intelligence, and Automations ...

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Intelligent Automation information

See Massachusetts salary details

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How much do intelligent automation jobs pay per year?

As of Sep 2, 2026, the average yearly pay for intelligent automation in Massachusetts is $116,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $134,900.00 per year, depending on experience, location, and employer.

What is an intelligent automation?

An Intelligent Automation job involves designing, developing, and implementing automation solutions that combine artificial intelligence (AI), robotic process automation (RPA), and other advanced technologies to streamline business operations. Professionals in this field analyze workflows, identify automation opportunities, and create systems that improve efficiency, reduce errors, and enhance decision-making. They work with AI models, bots, and data analytics to optimize processes across various industries. This role often requires expertise in programming, machine learning, and process optimization.

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

To thrive in Intelligent Automation, you need a solid background in process analysis, business process management, and programming or scripting skills, typically backed by a degree in engineering, computer science, or a related field. Experience with Robotic Process Automation (RPA) platforms such as UiPath or Blue Prism, as well as knowledge of machine learning and AI technologies, is highly beneficial, and certifications in these tools are often preferred. Strong problem-solving abilities, analytical thinking, and effective communication are essential soft skills for working across departments and translating business needs into technical solutions. These competencies are crucial for driving successful automation initiatives that improve efficiency, reduce errors, and add value to organizations.

What are some of the typical challenges faced in an intelligent automation role?

Professionals in Intelligent Automation roles frequently encounter challenges such as identifying the right processes for automation, managing changing business requirements, and ensuring seamless integration with existing IT infrastructure. Navigating organizational change and gaining buy-in from stakeholders are also common hurdles, as automation can significantly impact workflows and job roles. Successful practitioners typically work closely with business analysts, IT teams, and process owners to address these issues and implement scalable solutions. Overcoming these challenges requires a mix of technical expertise, adaptability, and strong interpersonal skills, all of which contribute to delivering impactful automation outcomes.

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

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

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

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

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

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

What cities in Massachusetts are hiring for Intelligent Automation jobs?

Cities in Massachusetts with the most Intelligent Automation job openings:

Intelligent Automation jobs near you
Infographic showing various Intelligent Automation job openings in Massachusetts as of August 2026, with employment types broken down into 8% Internship, and 92% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $116,995 per year, or $56.2 per hour.

Lead Data Scientist

Motion Recruitment Partners, LLC

Boston, MA • On-site

Other

Re-posted 21 hours 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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